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Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems (2024)
Book Chapter
Mercorelli, P., Nemati, H., & Zhu, Q. (2024). Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems. In P. Mercorelli, W. Zhang, H. Nemati, & Y. Zhang (Eds.), Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (1 - 14). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

Modeling, Identification, and Control for Cyber-Physical Systems Towards Industry 4.0 studies and analyzes the role of algorithms in identifying and controlling such a system towards Industry 4.0, which is the digital transformation of manufacturing... Read More about Industry 4.0 more than a challenge in modeling, identification, and control for cyber-physical systems.

U-model-based dynamic inversion control for quadrotor UAV systems (2024)
Book Chapter
Lone, A. A., Nemati, H., Zhu, Q., Mercorelli, P., & Narayan, P. (2024). U-model-based dynamic inversion control for quadrotor UAV systems. In Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (293-309). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

A Model-Independent Design approach (U-Model) is studied with the example of Quadrotor UAV. A Multiple-Input Multiple-Output (MIMO) dynamic model of a quadrotor UAV is derived, and U-Model-based Dynamic Inverse control approach is used to design a co... Read More about U-model-based dynamic inversion control for quadrotor UAV systems.

Multibody simulations of distributed flight arrays for Industry 4.0 applications (2024)
Book Chapter
Yip, L., Nemati, H., Mercorelli, P., & Zhu, Q. (2024). Multibody simulations of distributed flight arrays for Industry 4.0 applications. In Modeling, Identification, and Control for Cyber- Physical Systems Towards Industry 4.0 (247 - 278). Elsevier. https://doi.org/10.1016/C2021-0-02869-8

Distributed Flight Arrays (DFAs) are an experimental type of aerial, multi-rotor, vehicle capable of land-based navigation and cooperative aerial flight involving physically docking with N-number of other agents forming a larger structure with some d... Read More about Multibody simulations of distributed flight arrays for Industry 4.0 applications.

Feedback stabilization of a class of nonlinear systems using nonlinear normal form (2023)
Conference Proceeding
Lou, Z., Li, R., Zhu, Q., & Xu, Y. (2023). Feedback stabilization of a class of nonlinear systems using nonlinear normal form. In 2023 35th Chinese Control and Decision Conference (CCDC) (3211-3215). https://doi.org/10.1109/ccdc58219.2023.10327300

This paper investigates the design of a feedback controller via nonlinear normal form for a class of nonlinear systems. A general second-order nonlinear system affine in control is firstly presented. In general, it is more difficult to construct a no... Read More about Feedback stabilization of a class of nonlinear systems using nonlinear normal form.

Adaptive sliding mode attitude control of 2-degrees-of-freedom helicopter system with actuator saturation and disturbances (2023)
Journal Article
Li, R., Lei, C., Shi, B., Zhu, Q., & Yue, X. (in press). Adaptive sliding mode attitude control of 2-degrees-of-freedom helicopter system with actuator saturation and disturbances. Journal of Vibration and Control, https://doi.org/10.1177/10775463231212530

The modelling uncertainties, external disturbance and actuator saturation issues will degrade the performance and even the safety of flight. To improve control performance, this study proposes an adaptive U-model based double sliding control (UDSMC)... Read More about Adaptive sliding mode attitude control of 2-degrees-of-freedom helicopter system with actuator saturation and disturbances.

Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems (2023)
Journal Article
Zhu, Q., Li, R., Zhang, J., & Shi, B. (in press). Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems. Journal of Vibration and Control, https://doi.org/10.1177/10775463231206601

This study presents a generalised framework for model-free robust decentralised control (MFRDC) of interconnected MIMO dynamic systems, with the goal of significantly reducing complexity in model-based design. A model-free robust sliding mode control... Read More about Model-free robust decentralised control of multi-input-multi-output nonlinear interconnected dynamic systems.

Neural network-enhanced fault diagnosis of robot joints (2023)
Journal Article
Zhang, Y., & Zhu, Q. (2023). Neural network-enhanced fault diagnosis of robot joints. Algorithms, 16(10), Article 489. https://doi.org/10.3390/a16100489

Industrial robots play an indispensable role in flexible production lines, and the faults caused by degradation of equipment, motors, mechanical system joints, and even task diversity affect the efficiency of production lines and product quality. Aim... Read More about Neural network-enhanced fault diagnosis of robot joints.

Two iterative reweighted algorithms for systems contaminated by outliers (2023)
Journal Article
Chen, J., Hu, M., Liu, Y., & Zhu, Q. (2023). Two iterative reweighted algorithms for systems contaminated by outliers. IEEE Transactions on Instrumentation and Measurement, 72, https://doi.org/10.1109/tim.2023.3308255

This study proposes two iterative reweighted (IRE) algorithms for systems whose data are contaminated by outliers. For the negative effect caused by the outliers, traditional least squares (LSs) and gradient descent (GD) algorithms cannot obtain unbi... Read More about Two iterative reweighted algorithms for systems contaminated by outliers.

Model-free robust decoupling control of nonlinear nonaffine dynamic systems (2023)
Journal Article
Zhu, Q., Li, R., & Zhang, J. (2023). Model-free robust decoupling control of nonlinear nonaffine dynamic systems. International Journal of Systems Science, 54(13), 2590-2607. https://doi.org/10.1080/00207721.2023.2245543

This study presents a model-free robust input-output decoupling control with Nonlinear-Dynamic-Coupling Inversion/Inverter (NDCI) in a U-control framework. Regarding the decoupling, an input/output (I/O) coupling matrix function is proposed to derive... Read More about Model-free robust decoupling control of nonlinear nonaffine dynamic systems.

Model-free sliding mode enhanced proportional, integral, and derivative (SMPID) control (2023)
Journal Article
Zhu, Q. (2023). Model-free sliding mode enhanced proportional, integral, and derivative (SMPID) control. Axioms, 12(8), Article 721. https://doi.org/10.3390/axioms12080721

This study proposes a type of Sliding Mode-based Proportional, Integral, and Derivative (SMPID) controllers to establish a model-free (treat dynamic plants as a whole uncertainty) sliding model control (MFSMC) platform for Bounded-Input and Bounded-O... Read More about Model-free sliding mode enhanced proportional, integral, and derivative (SMPID) control.

Non-predictive model-free control of nonlinear systems with unknown input time delay (2023)
Journal Article
Zhu, Q., Zhang, J., & Zhang, W. (2023). Non-predictive model-free control of nonlinear systems with unknown input time delay. Entropy, 25(7), Article 1076. https://doi.org/10.3390/e25071076

This study presents a general framework for the control of unknown dynamic systems with unknown input delay. A concise output feedback control system is structured with tuning stabilization/dynamic response by an output feedback low gain, removing st... Read More about Non-predictive model-free control of nonlinear systems with unknown input time delay.

Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control (2023)
Journal Article
Li, R., Zhu, Q., Nemati, H., Yue, X., & Narayan, P. (2023). Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control. Journal of The Franklin Institute, 360(4), 3520-3544. https://doi.org/10.1016/j.jfranklin.2022.11.036

This paper develops a novel U-model enhanced double sliding mode controller (UDSMC) for a quadrotor based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). UDSMC is designed using Lyapunov synthesis and Hurwitz stability to no... Read More about Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control.

A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery (2023)
Journal Article
Ali, Z. A., Yang, C., Israr, A., & Zhu, Q. (2023). A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery. Drones, 7(2), 97. https://doi.org/10.3390/drones7020097

Disease detection in plants is essential for food security and economic stability. Unmanned aerial vehicle (UAV) imagery and artificial intelligence (AI) are valuable tools for it. The purpose of this review is to gather several methods used by our p... Read More about A comprehensive review of scab disease detection on Rosaceae family fruits via UAV imagery.

Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods (2022)
Journal Article
Chen, J., Pu, Y., Guo, L., Cao, J., & Zhu, Q. (2023). Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods. International Journal of Adaptive Control and Signal Processing, 37(1), 211-223. https://doi.org/10.1002/acs.3519

This article proposes several second-order optimization methods for time-delay ARX model. Since the time-delay in the information vector makes the traditional identification algorithms be inefficient, a redundant rule based method is utilized to tran... Read More about Second-order optimization methods for time-delay Autoregressive eXogenous models: Nature gradient descent method and its two modified methods.

Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms (2022)
Journal Article
Chen, J., Mao, Y., Gan, M., Wang, D., & Zhu, Q. (2023). Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms. IEEE Transactions on Automatic Control, 68(8), 5044-5051. https://doi.org/10.1109/TAC.2022.3214474

Aitken gradient descent (AGD) algorithm takes some advantages over the standard gradient descent (SGD) and Newton methods: (1) can achieve at least quadratic convergence in general; (2) does not require the Hessian matrix inversion; (3) has less comp... Read More about Greedy search method for separable nonlinear models using stage Aitken gradient descent and least squares algorithms.

U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient (2022)
Journal Article
Lei, C., & Zhu, Q. (2022). U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient. Mathematical Problems in Engineering, 2022, 1-14. https://doi.org/10.1155/2022/8980664

This paper presents a U-model-based adaptive sliding mode control (SMC) using a deep deterministic policy gradient (DDPG) for uncertain nonlinear systems. The configuration of the proposed methodology consisted of a U-model framework and an SMC with... Read More about U-Model-Based adaptive sliding mode control using a deep deterministic policy gradient.

Modified multi-direction iterative algorithm for separable nonlinear models with missing data (2022)
Journal Article
Chen, J., Hu, M., Mao, Y., & Zhu, Q. (2022). Modified multi-direction iterative algorithm for separable nonlinear models with missing data. IEEE Signal Processing Letters, 29, 1968-1972. https://doi.org/10.1109/LSP.2022.3204408

Multi-direction iterative (MUL-DI) algorithm is an efficient algorithm for large-scale models, and it establishes a theoretical linkage between least squares (LS) and gradient descent (GD) algorithms. However, it involves Givens transformation and de... Read More about Modified multi-direction iterative algorithm for separable nonlinear models with missing data.

Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise (2022)
Journal Article
Gu, Y., Dai, W., Zhu, Q., & Nouri, H. (2023). Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise. Journal of Computational and Applied Mathematics, 420, 114794. https://doi.org/10.1016/j.cam.2022.114794

This paper considers the combined parameter and state estimation problem of a bilinear state space system with moving average noise. There are product terms of state variables and control variables in bilinear systems, which brings difficulties to pa... Read More about Hierarchical multi-innovation stochastic gradient identification algorithm for estimating a bilinear state-space model with moving average noise.

Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form (2022)
Journal Article
Soukkou, Y., Tadjine, M., Nibouche, M., & Zhu, Q. (2022). Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form. International Journal of Adaptive Control and Signal Processing, 36(11), 2938-2952. https://doi.org/10.1002/acs.3486

This article presents a robust adaptive dynamic surface control using σ-modification adaptation laws for a class of single-input and single-output (SISO) uncertain nonlinear systems in strict-feedback form with parametric uncertainties and external d... Read More about Robust adaptive dynamic surface control scheme for a class of single‐input and single‐output uncertain nonlinear systems in strict‐feedback form.

An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer (2022)
Journal Article
Li, R., Zhu, Q., Zhang, W., Yue, X., & Narayan, P. (2023). An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer. International Journal of Control, 96(11), 2737-2748. https://doi.org/10.1080/00207179.2022.2111370

This paper presents a new method to calculate the inversion of the controlled linear/nonlinear dynamic plants which are described by input–output differential equation models. This new U-model-based inverter (U-inverter), cancels both system dynamics... Read More about An improved U-control design for nonlinear systems represented by input/output differential models with a disturbance observer.

A comprehensive expectation identification framework for multirate time-delayed systems (2022)
Journal Article
Chen, J., Gao, J., Liu, Y., Wang, C., & Zhu, Q. (2023). A comprehensive expectation identification framework for multirate time-delayed systems. IEEE Transactions on Industrial Informatics, 19(5), 7011-7021. https://doi.org/10.1109/TII.2022.3194656

The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a matrix inversion in the EM-M step. The equations related to... Read More about A comprehensive expectation identification framework for multirate time-delayed systems.

Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model (2022)
Journal Article
Liu, L., Long, Z., Azar, A. T., Zhu, Q., Ibraheem, I. K., & Humaidi, A. J. (2022). Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model. Measurement and Control, 55(5-6), https://doi.org/10.1177/00202940211064179

Due to the existence of system noise and unknown state variables, it is difficult to realize unbiased estimation with minimum variance for the parameter estimation of canonical state space model. This paper presents a new least squares estimator base... Read More about Least square algorithm based on bias compensated principle for parameter estimation of canonical state space model.

Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints (2022)
Journal Article
Li, Y., Zhu, Q., Zhang, J., & Deng, Z. (2022). Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints. Entropy, 24(5), 737. https://doi.org/10.3390/e24050737

A new fixed-time adaptive neural network control strategy is designed for pure-feedback non-affine nonlinear systems with state constraints according to the feedback signal of the error system. Based on the adaptive backstepping technology, the Lyapu... Read More about Adaptive fixed-time neural networks control for pure-feedback non-affine nonlinear systems with state constraints.

Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems (2022)
Journal Article
Toumi, I., Meghni, B., Hachana, O., Azar, A. T., Boulmaiz, A., Humaidi, A. J., …Bahgaat, N. K. (in press). Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems. Entropy, 24(5), 731. https://doi.org/10.3390/e24050731

In order to extract efficient power generation, a wind turbine (WT) system requires an accurate maximum power point tracking (MPPT) technique. Therefore, a novel robust variable-step perturb-and-observe (RVS-P&O) algorithm was developed for the machi... Read More about Robust variable-step perturb-and-observe sliding mode controller for grid-connected wind-energy-conversion systems.

A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation (2022)
Journal Article
Zhu, Q., Mobayen, S., Nemati, H., Zhang, J., & Wei, W. (2023). A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation. Journal of Vibration and Control, 29(5-6), 1417-1430. https://doi.org/10.1177/10775463211064010

This study proposes a U-control–based Composite Nonlinear Feedback (U-CNF) design procedure. This U-CNF control establishes a double feedback loop framework for generalisation and simplification in designing the CNF control systems. Two controllers,... Read More about A new configuration of composite nonlinear feedback control for nonlinear systems with input saturation.

Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms (2021)
Journal Article
Chen, J., Ma, J., Gan, M., & Zhu, Q. (2022). Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms. IEEE Transactions on Automatic Control, 67(12), 6770-6777. https://doi.org/10.1109/TAC.2021.3132262

In this study, a multi-direction-based gradient iterative (GI) algorithm for Hammerstein systems with irregular sampling data is proposed. The algorithm updates the parameter estimates using several orthogonal directions at each iteration. The conver... Read More about Multi-direction gradient iterative algorithm: A unified framework for gradient iterative and least squares algorithms.

Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems (2021)
Journal Article
Li, R., Zhu, Q., Yang, J., Narayan, P., & Yue, X. (2021). Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems. Entropy, 23(12), https://doi.org/10.3390/e23121625

U-model, which is a control-oriented model set with the property of generally facilitate nonlinearity dynamic inversion/cancellation, has been introduced to the Disturbance Observer-Based control (DOBC) methods to improve the performance of the nonli... Read More about Disturbance-observer-based u-control (Dobuc) for nonlinear dynamic systems.

Complete model-free sliding mode control (CMFSMC) (2021)
Journal Article
Zhu, Q. (2021). Complete model-free sliding mode control (CMFSMC). Scientific Reports, 11(1), Article 22565. https://doi.org/10.1038/s41598-021-01871-6

This study presents a complete model-free sliding mode control (CMFSMC) framework for the control of continuous-time non-affine nonlinear dynamic systems with unknown models. The novelty lies in the introduction of two equalities to assign the deriva... Read More about Complete model-free sliding mode control (CMFSMC).

Identification and U-control of a state-space system with time-delay (2021)
Journal Article
Gu, Y., Zhu, Q., & Nouri, H. (2022). Identification and U-control of a state-space system with time-delay. International Journal of Adaptive Control and Signal Processing, 36(1), 138-154. https://doi.org/10.1002/acs.3345

This article presents a state-space model with time-delay to map the relationship between known input-output data for discrete systems. For the given input-output data, a model identification algorithm combining parameter estimation and state estimat... Read More about Identification and U-control of a state-space system with time-delay.

Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique (2021)
Journal Article
Chen, J., Gan, M., Zhu, Q., Narayan, P., & Liu, Y. (2022). Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique. IEEE Transactions on Cybernetics, 52(9), 9646-9655. https://doi.org/10.1109/tcyb.2021.3063113

A robust standard gradient descent (SGD) algorithm for ARX models using the Aitken acceleration method is developed. Considering that the SGD algorithm has slow convergence rates and is sensitive to the step size, a robust and accelerative SGD (RA-SG... Read More about Robust standard gradient descent algorithm for ARX models using Aitken acceleration technique.

U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems (2021)
Journal Article
Li, R., Zhu, Q., Narayan, P., Yue, A., Yao, Y., & Deng, M. (2021). U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems. Entropy, 23(2), Article 169. https://doi.org/10.3390/e23020169

This paper proposes a U-Model-Based Two-Degree-of-Freedom Internal Model Control (UTDF-IMC) structure with strength in nonlinear dynamic inversion, and separation of tracking design and robustness design. This approach can effectively accommodate mod... Read More about U-model-based two-degree-of-freedom internal model control of nonlinear dynamic systems.

Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems (2020)
Journal Article
Li, R., Zhu, Q., Kiely, J., & Zhang, W. (2020). Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems. Complexity, 2020, https://doi.org/10.1155/2020/3640210

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-... Read More about Algorithms for U-model-based dynamic inversion (UM-dynamic inversion) for continuous time control systems.

U-Model and U-Control methodology for nonlinear dynamic systems (2020)
Journal Article
Zhang, W., Zhu, Q., Mobayen, S., Yan, H., Qiu, J., & Narayan, P. (2021). U-Model and U-Control methodology for nonlinear dynamic systems. Complexity, 2020(Special issue: Learning and Adaptation for Optimization and Control of Complex Renewable Energy Systems), 1-13. https://doi.org/10.1155/2020/1050254

This study presents the fundamental concepts and technical details of a U-model-based control (U-control for short) system design framework, including U-model realisation from classic model sets, control system design procedures, and simulated showca... Read More about U-Model and U-Control methodology for nonlinear dynamic systems.

Improved gradient descent algorithms for time-delay rational state-space systems: Intelligent search method and momentum method (2020)
Journal Article
Chen, J., Zhu, Q., Hu, M., Guo, L., & Narayan, P. (2020). Improved gradient descent algorithms for time-delay rational state-space systems: Intelligent search method and momentum method. Nonlinear Dynamics, 101, 361-373. https://doi.org/10.1007/s11071-020-05755-8

This study proposes two improved gradient descent parameter estimation algorithms for rational state-space models with time-delay. These two algorithms, based on intelligent search method and momentum method, can simultaneously estimate the time-dela... Read More about Improved gradient descent algorithms for time-delay rational state-space systems: Intelligent search method and momentum method.

U-model based predictive control for nonlinear processes with input delay (2019)
Journal Article
Geng, X., Zhu, Q., Liu, T., & Na, J. (2019). U-model based predictive control for nonlinear processes with input delay. Journal of Process Control, 75, 156-170. https://doi.org/10.1016/j.jprocont.2018.12.002

In this paper, a general control scheme is proposed for nonlinear dynamic processes with input delay described by different models, including polynomial models, state-space models, nonlinear autoregressive moving average with eXogenous inputs (NARMAX... Read More about U-model based predictive control for nonlinear processes with input delay.

Adaptive finite-time stabilization of chaotic flow with a single unstable node using a nonlinear function-based global sliding mode (2018)
Journal Article
Mobayen, S., Ma, J., Pujol-Vazquez, G., Acho, L., & Zhu, Q. (2019). Adaptive finite-time stabilization of chaotic flow with a single unstable node using a nonlinear function-based global sliding mode. Iranian Journal of Science and Technology Transactions of Electrical Engineering, 43(1), 339-347. https://doi.org/10.1007/s40998-018-0153-6

© 2018, Shiraz University. This article presents a novel adaptive finite-time stabilization technique based on global sliding mode for disturbed chaotic flow with a single unstable node. The considered chaotic flow has unusual characteristics contain... Read More about Adaptive finite-time stabilization of chaotic flow with a single unstable node using a nonlinear function-based global sliding mode.

Bias compensation recursive algorithm for dual-rate rational models (2018)
Journal Article
Chen, J., Liu, Y., & Zhu, Q. (2018). Bias compensation recursive algorithm for dual-rate rational models. IET Control Theory and Applications, 12(16), 2184-2193. https://doi.org/10.1049/iet-cta.2018.5368

© The Institution of Engineering and Technology 2018. In dual-rate rational systems, some output data are missing (unmeasurable) to make the traditional recursive least squares (RLS) parameter estimation algorithms invalid. In order to overcome this... Read More about Bias compensation recursive algorithm for dual-rate rational models.

Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Neurourology and Urodynamics, 37(S5), S327-S328. https://doi.org/10.1002/nau.23760

Detrusor underactivity (DU) and bladder outlet obstruction (BOO) bother almost half of elder men. Although the treatment is different for these two lower urinary tract symptoms, invasive pressure flow studies remains the only gold standard for diagno... Read More about Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males.

Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males. Neurourology and Urodynamics, 37(S5), S248-S249. https://doi.org/10.1002/nau.23760

It remains a challenge to non-invasively differentiate detrusor underactivity (DU) from bladder outlet obstruction (BOO) in males, and the gold standard is pressure flow studies, which is invasive, relatively expensive and may cause bleeding and infe... Read More about Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males.

Urine flow rate shape template and intermittent flow in males (2018)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018). Urine flow rate shape template and intermittent flow in males. Neurourology and Urodynamics, 37(S5), 1-430. https://doi.org/10.1002/nau.23760

Uroflowmetry serves as a preliminary urodynamic test for physicians to indicate the possible cause of lower urinary tract symptoms. Alongside the most researched parameter maximum flow rate (Qmax), the shape of urine flow rate curve is also reported... Read More about Urine flow rate shape template and intermittent flow in males.

Urine flow rate curve shapes and their descriptors (2018)
Journal Article
Li, R., Zhu, Q., Nibouche, M., & Gammie, A. (2018). Urine flow rate curve shapes and their descriptors. Neurourology and Urodynamics, 37(8), 2938-2944. https://doi.org/10.1002/nau.23743

© 2018 Wiley Periodicals, Inc. Aims: To review the descriptors and definitions of urine flow rate curve shape with a view to promoting greater clarity and to propose standard terms. Methods: A search was made in the PubMed and ICS standardization do... Read More about Urine flow rate curve shapes and their descriptors.

Decentralized adaptive force/position control of reconfigurable manipulator based on soft sensors (2018)
Journal Article
Du, Y., & Zhu, Q. (2018). Decentralized adaptive force/position control of reconfigurable manipulator based on soft sensors. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 232(9), 1260-1271. https://doi.org/10.1177/0959651818779848

© IMechE 2018. Two soft sensor control methods are proposed to deal with force/position control of reconfigurable manipulator without using wrist force sensors. First, modeling uncertainties and coupled interconnection terms between the subsystems ar... Read More about Decentralized adaptive force/position control of reconfigurable manipulator based on soft sensors.

Mathematical analysis of the male urine flow rate curve for differentiating between DU and BOO (2018)
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018, June). Mathematical analysis of the male urine flow rate curve for differentiating between DU and BOO. Presented at ICI-RS pre-meeting 2018: The scientific basis of urology, The School of Physiology, Pharmacology & Neuroscience, University of Bristol

Mathematical analysis of the male urine flow rate curve for non-invasive differentiating between DU and BOO

Multivariance analysis on non-invasive urodynamic parameters for Differentiating DU with BOO in male (2018)
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2018, April). Multivariance analysis on non-invasive urodynamic parameters for Differentiating DU with BOO in male. Presented at United Kingdom Continence Society 2018 Conference: The First UK Pelvic Floor Summit, Telford, UK

Differentiating detrusor underactivity (DU) with bladder outlet obstruction (BOO) can only be done by pressure flow studies. Although a few parameters have been proposed for diagnosing voiding abnormalities, such as flow index1, Delta Q2, peak counti... Read More about Multivariance analysis on non-invasive urodynamic parameters for Differentiating DU with BOO in male.

Slat broadband noise prediction of multi-element 30P30N airfoil by a hybrid RANS-LES method (2018)
Presentation / Conference
Peng, T., Yao, Y., & Zhu, Q. (2018, March). Slat broadband noise prediction of multi-element 30P30N airfoil by a hybrid RANS-LES method. Paper presented at 53rd 3AF International Conference on Applied Aerodynamics, Salon de Provence, France

This paper presents a combined CFD and CAA study to assess the slat noise emissions from a multi-element 30P30N airfoil at the 5-degree and 8-degree angle of attack, using a hybrid RANS-LES method. In this simulation, the structured mesh is used and... Read More about Slat broadband noise prediction of multi-element 30P30N airfoil by a hybrid RANS-LES method.

Gradient-based particle filter algorithm for an ARX model with nonlinear communication output (2018)
Journal Article
Chen, J., Liu, Y., Ding, F., & Zhu, Q. (2018). Gradient-based particle filter algorithm for an ARX model with nonlinear communication output. IEEE Transactions on Systems Man and Cybernetics: Systems, https://doi.org/10.1109/TSMC.2018.2810277

A stochastic gradient (SG)-based particle filter (SG-PF) algorithm is developed for an ARX model with nonlinear communication output in this paper. This ARX model consists of two submodels, one is a linear ARX model and the other is a nonlinear outpu... Read More about Gradient-based particle filter algorithm for an ARX model with nonlinear communication output.

Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation (2018)
Journal Article
Ma, P., Ding, F., & Zhu, Q. (2018). Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation. International Journal of Systems Science, 49(5), 920-928. https://doi.org/10.1080/00207721.2018.1433247

© 2018 Informa UK Limited, trading as Taylor & Francis Group. This paper studies the parameter estimation algorithms of multivariate pseudo-linear autoregressive systems. A decomposition-based recursive generalised least squares algorithm is deduce... Read More about Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation.

Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features (2018)
Journal Article
Wang, Y., Sun, B., Zhang, R., Zhu, Q., & Li, F. (2018). Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features. IEEE Access, 6, 14019-14029. https://doi.org/10.1109/ACCESS.2018.2805265

© 2018 IEEE. This paper proposes a flotation performance recognition system based on a hierarchical classification of froth images using both local dynamic and static features, which includes a series of functions in image extraction, processing, and... Read More about Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features.

U-model enhanced dynamic control of a heavy oil pyrolysis/cracking furnace (2018)
Journal Article
Zhu, Q., Zhao, D., Zhang, S., & Narayan, P. (2018). U-model enhanced dynamic control of a heavy oil pyrolysis/cracking furnace. IEEE Caa Journal of Automatica Sinica, 5(2), 577-586. https://doi.org/10.1109/JAS.2017.7510847

This paper proposes a case study in the control of a heavy oil pyrolysis/cracking furnace with a newly extended U-Model based Pole Placement Controller (U-PPC). The major work of the paper includes: 1. establishing a control oriented nonlinear dynami... Read More about U-model enhanced dynamic control of a heavy oil pyrolysis/cracking furnace.

Control of complex nonlinear dynamic rational systems (2018)
Journal Article
Zhu, Q., Li, L., Zhang, W., & Li, S. (2018). Control of complex nonlinear dynamic rational systems. Complexity, 2018(895303), https://doi.org/10.1155/2018/8953035

© 2018 Quanmin Zhu et al. Nonlinear rational systems/models, also known as total nonlinear dynamic systems/models, in an expression of a ratio of two polynomials, have roots in describing general engineering plants and chemical reaction processes. Th... Read More about Control of complex nonlinear dynamic rational systems.

A New Hydraulic Speed Regulation Scheme: Valve-Pump Parallel Variable Mode Control (2018)
Journal Article
Ding, H., Zhao, J., & Zhu, Q. (2018). A New Hydraulic Speed Regulation Scheme: Valve-Pump Parallel Variable Mode Control. IEEE Access, 6, 55257-55263. https://doi.org/10.1109/ACCESS.2018.2872605

© 2013 IEEE. To improve the comprehensive performances of hydraulic speed regulation systems, this paper proposes and develops a new control scheme, valve-pump parallel variable mode control, which can adopt different control modes in different speed... Read More about A New Hydraulic Speed Regulation Scheme: Valve-Pump Parallel Variable Mode Control.

Coordinated control of a wind-methanol-fuel cell system with hydrogen storage (2017)
Journal Article
Hu, J., Cao, W., Yuan, X., Chen, X., Duan, Q., Yuan, T., & Zhu, Q. (2017). Coordinated control of a wind-methanol-fuel cell system with hydrogen storage. Energies, 10(12), 2053. https://doi.org/10.3390/en10122053

This paper presents a wind-methanol-fuel cell system with hydrogen storage. It can manage various energy flow to provide stable wind power supply, produce constant methanol, and reduce CO2 emissions. Firstly, this study establishes the theoretical ba... Read More about Coordinated control of a wind-methanol-fuel cell system with hydrogen storage.

Non-invasive parameter for assessing urine flow rate in frequency domain to differentiate detrusor underactivity with bladder outlet obstruction in male (2017)
Presentation / Conference
Lli, R., Gammie, A., Zhu, Q., & Nibouche, M. (2017, November). Non-invasive parameter for assessing urine flow rate in frequency domain to differentiate detrusor underactivity with bladder outlet obstruction in male. Presented at Incontinence XI: The Engineering Challenge, London, England

To differentiate Detrusor underactivity (DU) with bladder outlet obstruction (BOO), we have assessed free urine flow in frequency domain, and proposed median power frequency (MPF) as a potential urodynamic indicator for diagnosing DU. As a continuat... Read More about Non-invasive parameter for assessing urine flow rate in frequency domain to differentiate detrusor underactivity with bladder outlet obstruction in male.

Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule (2017)
Journal Article
Chen, J., Zhu, Q. M., Li, J., & Liu, Y. J. (2018). Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule. Nonlinear Dynamics, 91(2), 797-807. https://doi.org/10.1007/s11071-017-3910-6

© 2017, Springer Science+Business Media B.V., part of Springer Nature. This paper develops a biased compensation recursive least squares-based threshold algorithm for a time-delay rational model. The time-delay rational model is transformed into an a... Read More about Biased compensation recursive least squares-based threshold algorithm for time-delay rational models via redundant rule.

A new result on observer-based sliding mode control design for a class of uncertain Ito^ stochastic delay systems (2017)
Journal Article
Liu, Z., Zhu, Q., Zhao, L., Yu, J., & Gao, C. (2017). A new result on observer-based sliding mode control design for a class of uncertain Ito^ stochastic delay systems. Journal of The Franklin Institute, 354(18), 8200-8216. https://doi.org/10.1016/j.jfranklin.2017.10.016

© 2017 The Franklin Institute This paper develops a new observer-based sliding mode control (SMC) scheme for a general class of Ito^ stochastic delay systems (SDS). The key merit of the presented scheme lies in its simplicity and integrity in design... Read More about A new result on observer-based sliding mode control design for a class of uncertain Ito^ stochastic delay systems.

Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men (2017)
Journal Article
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. (2017). Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men. Neurourology and Urodynamics, 36(S3), 87-88

Detrusor underactivity (DU) is still largely under researched and can only be diagnosed by invasive pressure flow studies (PFS). Theoretically, the flow shape of DU is different from bladder outlet obstruction (BOO), but in practice PFS is the only g... Read More about Mathematical analysis on urine flow traces for non-invasive diagnosis of Detrusor underactivity in men.

Robust and stepwise optimization design for CO2 pipeline transportation (2017)
Journal Article
Tian, Q., Zhao, D., Li, Z., & Zhu, Q. (2017). Robust and stepwise optimization design for CO2 pipeline transportation. International Journal of Greenhouse Gas Control, 58, 10-18. https://doi.org/10.1016/j.ijggc.2017.01.003

© 2017 Elsevier Ltd Carbon capture, utilization, storage (CCUS) technology is an effective means to reduce the CO2 emissions. It has been noted that engineering and economic design of the pipeline transportation are important components for CCUS. How... Read More about Robust and stepwise optimization design for CO2 pipeline transportation.

A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems (2017)
Journal Article
Mu, B., Bai, E. W., Zheng, W. X., & Zhu, Q. (2017). A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems. Automatica, 77, 322-335. https://doi.org/10.1016/j.automatica.2016.11.009

© 2016 Elsevier Ltd This paper considers identification of nonlinear rational systems defined as the ratio of two nonlinear functions of past inputs and outputs. Despite its long history, a globally consistent identification algorithm remains illusiv... Read More about A globally consistent nonlinear least squares estimator for identification of nonlinear rational systems.

Case studies on U state space control system design for quadrotor model (2017)
Conference Proceeding
Narayan, P., Liu, X., Zhu, Q., & Narayan, P. P. (2017). Case studies on U state space control system design for quadrotor model. In 2016 8th International Conference on Modelling, Identification and Control (ICMIC). , (857-862). https://doi.org/10.1109/ICMIC.2016.7804234

© 2016 University of MEDEA, Algeria. In this study, U-state space design is proposed to develop control systems for a standard multi-input multi-output (MIMO) quadrotor model. The desired closed loop matrix is optimally designed by the linear quadrat... Read More about Case studies on U state space control system design for quadrotor model.

Biological modelling for sustainable ecosystems (2017)
Book Chapter
Furze, J., Zhu, Q., Hill, J., & Qiao, F. (2017). Biological modelling for sustainable ecosystems. In J. Furze, K. Swing, A. Gupta, R. McClatchey, & D. Reynolds (Eds.), Mathematical Advances Towards Sustainable Environmental Systems (9-42). Springer International Publishing

Modelling of biological systems is discussed in terms of the primary producers of trophic levels of organisation of life. Richness of plant communities enables sustainability to be reached within subsequent trophic levels. Plant dimensions of life hi... Read More about Biological modelling for sustainable ecosystems.

A new terminal converging adaptive control for 6-degree-of-freedom parallel robotic manipulators with bounded control inputs (2017)
Journal Article
Spurgeon, S. K., Zhao, D., Liang, H., Li, S., & Zhu, Q. (2017). A new terminal converging adaptive control for 6-degree-of-freedom parallel robotic manipulators with bounded control inputs. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 231(4), 271-281. https://doi.org/10.1177/0959651817698333

© IMechE 2017. In this study, a new terminal converging adaptive control approach with bounded control inputs is developed for the 6-degree-of-freedom parallel robot manipulator. The non-smooth feedback control principle is combined with particular b... Read More about A new terminal converging adaptive control for 6-degree-of-freedom parallel robotic manipulators with bounded control inputs.

Performance analysis of the generalised projection identification for time-varying systems (2016)
Journal Article
Ding, F., Xu, L., & Zhu, Q. (2016). Performance analysis of the generalised projection identification for time-varying systems. IET Control Theory and Applications, 10(18), 2506-2514. https://doi.org/10.1049/iet-cta.2016.0202

© The Institution of Engineering and Technology 2016. The least mean square methods include two typical parameter estimation algorithms, which are the projection algorithm and the stochastic gradient algorithm, the former is sensitive to noise and th... Read More about Performance analysis of the generalised projection identification for time-varying systems.

Design of sliding-mode observer for a class of uncertain neutral stochastic systems (2016)
Journal Article
Liu, Z., Zhao, L., Zhu, Q., & Gao, C. (2017). Design of sliding-mode observer for a class of uncertain neutral stochastic systems. International Journal of Systems Science, 48(7), 1380-1394. https://doi.org/10.1080/00207721.2016.1258597

© 2016 Informa UK Limited, trading as Taylor & Francis Group. The problem of robust H∞ control for a class of uncertain neutral stochastic systems (NSS) is investigated by utilising the sliding-mode observer (SMO) technique. This paper presents a n... Read More about Design of sliding-mode observer for a class of uncertain neutral stochastic systems.

U-model enhanced control of nonminimum-phase dynamic systems (2016)
Presentation / Conference
Qiu, J., Zhu, Q., Nibouche, M., & Yao, Y. (2016, November). U-model enhanced control of nonminimum-phase dynamic systems. Paper presented at 8th International Conference on Modelling, Identification and Control (ICMIC-2016), Algiers, Algeria

In this study, U-model based control system design methodology is expanded into control of nonminimum-phase (NMP) dynamic systems. With U-model framework, a desired minimum-phase (MP) plant is established, which forms as a generic prototype. To achie... Read More about U-model enhanced control of nonminimum-phase dynamic systems.

Design of U-PPC-Type II for Nonlinear Systems (2016)
Journal Article
Narayan, P., Zhu, G., Qiu, J., Zhu, Q., Narayan, P. P., & Wright, S. (2016). Design of U-PPC-Type II for Nonlinear Systems. https://doi.org/10.1109/ChiCC.2016.7555008

© 2016 TCCT. In this study, a new U-PPC-Type II (U-model Pole Placement Control Type II) control system design procedure is proposed based on the U-model principle. The objective of a U-PPC-Type II design is to determine a linear controller Gc from a... Read More about Design of U-PPC-Type II for Nonlinear Systems.

A new stepwise and piecewise optimization approach for CO2 pipeline (2016)
Journal Article
Zhao, D., Tian, Q., Li, Z., & Zhu, Q. (2016). A new stepwise and piecewise optimization approach for CO2 pipeline. International Journal of Greenhouse Gas Control, 49, 192-200. https://doi.org/10.1016/j.ijggc.2016.03.005

© 2016 . The process of CO2 capture, transportation, enhanced oil recovery (EOR) and storage is one of the best ways for CO2 emission reduction, which is also named as Carbon Capture, Utilization and Storage (CCUS). It has been noted that CO2 transpo... Read More about A new stepwise and piecewise optimization approach for CO2 pipeline.

An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models (2016)
Journal Article
Zhu, Q., Yu, D., & Zhao, D. (2017). An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models. International Journal of Systems Science, 48(3), 451-461. https://doi.org/10.1080/00207721.2016.1186243

© 2016 Informa UK Limited, trading as Taylor & Francis Group. In this study, an enhanced Kalman Filter formulation for linear in the parameters models with inherent correlated errors is proposed to build up a new framework for nonlinear rational mo... Read More about An enhanced linear Kalman filter (EnLKF) algorithm for parameter estimation of nonlinear rational models.

Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics (2016)
Journal Article
Zhao, D., Li, S., & Zhu, Q. (2016). Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics. International Journal of Systems Science, 47(4), 791-804. https://doi.org/10.1080/00207721.2014.906681

© 2014 Taylor & Francis. In this study, a new adaptive synchronised tracking control approach is developed for the operation of multiple robotic manipulators in the presence of uncertain kinematics and dynamics. In terms of the system synchronisati... Read More about Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics.

Case studies on U-state space control system design for aircraft dynamic model (2015)
Presentation / Conference
Liu, X., Zhu, Q., & Narayan, P. P. (2015, December). Case studies on U-state space control system design for aircraft dynamic model. Paper presented at 7th International Conference on Modelling, Identification and Control (ICMIC), Sousse

In this study, U-state space design approach is used to develop a control system of linearized F-16 aircraft dynamic model. The related F-16 model is converted from the original nonlinear dynamics by Taylor series around the trimmed equilibrium. The... Read More about Case studies on U-state space control system design for aircraft dynamic model.

A general U-block model-based design procedure for nonlinear polynomial control systems (2015)
Journal Article
Zhu, Q., Zhao, D. Y., & Zhang, J. (2016). A general U-block model-based design procedure for nonlinear polynomial control systems. International Journal of Systems Science, 47(14), 3465-3475. https://doi.org/10.1080/00207721.2015.1086930

The proposition of U-model concept (in terms of providing concise and applicable solutions for complex problems) and a corresponding basic U-control design algorithm was originated in the first author's PhD thesis. The term of U-model appeared (not r... Read More about A general U-block model-based design procedure for nonlinear polynomial control systems.

A new procedure for analysis and modelling of male urine flow rate (2015)
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., Nibouche, M., & Kiely, J. (2015, July). A new procedure for analysis and modelling of male urine flow rate

In the first stage studies, this paper proposes a new piecewise linear discrete time dynamic model for describing global urine flow rate profiles against time sequence. The establishment of model has been guided by physician meaningful principles and... Read More about A new procedure for analysis and modelling of male urine flow rate.

Terminal sliding mode control for continuous stirred tank reactor (2015)
Journal Article
Zhao, D., Zhu, Q., & Dubbeldam, J. (2015). Terminal sliding mode control for continuous stirred tank reactor. Chemical Engineering Research and Design, 94, 266-274. https://doi.org/10.1016/j.cherd.2014.08.005

© 2014 The Institution of Chemical Engineers. A continuous stirred tank reactor (CSTR) is a typical example of chemical industrial equipment, whose dynamics represent an extensive class of second order nonlinear systems. It has been witnessed that de... Read More about Terminal sliding mode control for continuous stirred tank reactor.

Design of a discrete tracking controller for a magnetic levitation system: A nonlinear rational model approach (2015)
Journal Article
Gómez-Salas, F., Wang, Y., & Zhu, Q. (2015). Design of a discrete tracking controller for a magnetic levitation system: A nonlinear rational model approach. Mathematical Problems in Engineering, 2015, 1-8. https://doi.org/10.1155/2015/360783

© 2015 Fernando Gómez-Salas et al. This work proposes a discrete-time nonlinear rational approximate model for the unstable magnetic levitation system. Based on this model and as an application of the input-output linearization technique, a discrete-... Read More about Design of a discrete tracking controller for a magnetic levitation system: A nonlinear rational model approach.

Application of Hidden Markov Model to locate soccer robots (2015)
Journal Article
Qiu, J., Zhu, Q., & Zhao, D. (2015). Application of Hidden Markov Model to locate soccer robots. https://doi.org/10.1109/ChiCC.2015.7259895

© 2015 Technical Committee on Control Theory, Chinese Association of Automation. This paper adopts a Hidden Markov Model as a basis for predicting the probabilities in location of soccer robot's trajectories, develops the corresponding algorithms, an... Read More about Application of Hidden Markov Model to locate soccer robots.

Robust control for robotic manipulators with non-smooth strategy (2015)
Journal Article
Zhao, D., Liang, H., & Zhu, Q. (2015). Robust control for robotic manipulators with non-smooth strategy. International Journal of Modelling, Identification and Control, 23(2), 112-120. https://doi.org/10.1504/IJMIC.2015.068874

Copyright © 2015 Inderscience Enterprises Ltd. In this paper, a novel non-smooth robust control approach is presented for robotic manipulators. By using decimal power rule in Lyapunov redesign methods, the conventional robust control for robot is imp... Read More about Robust control for robotic manipulators with non-smooth strategy.

A universal U-model based control system design (2014)
Presentation / Conference
Zhu, Q., Li, S., & Zhao, D. (2014, July). A universal U-model based control system design. Paper presented at The 33rd Chinese Control Conference, Nanjing, China

In conjunction with some of the latest research results, this study briefly summarizes the major characteristics with U-model based control system design and foresees the potential blue-sky research issues. The purpose of the presentation is to pro... Read More about A universal U-model based control system design.

Robust controller design based LMI techniques (2014)
Book Chapter
Peng, Y., Zhu, Q., & Nouri, H. (2014). Robust controller design based LMI techniques. In Q. Zhu, L. Cheng, Y. Wang, D. Zhao, & L. Liu (Eds.), Applied Methods and Techniques for Mechatronic Systems (325-369). Springer Berlin Heidelberg

Decentralised control for complex systems - An invited survey (2014)
Journal Article
Yan, X. G., Zhang, Q., Spurgeon, S. K., Zhu, Q., & Fridman, L. M. (2014). Decentralised control for complex systems - An invited survey. International Journal of Modelling, Identification and Control, 22(4), 285-297. https://doi.org/10.1504/IJMIC.2014.066260

© 2014 Inderscience Enterprises Ltd. With the advancement of science and technology, practical systems are becoming more complex. Decentralised control has been recognised as a practical, feasible and powerful tool for application to large scale inte... Read More about Decentralised control for complex systems - An invited survey.

Review of rational (total) nonlinear dynamic system modelling, identification, and control (2013)
Journal Article
Zhu, Q., Wang, Y., Zhao, D., Li, S., & Billings, S. A. (2015). Review of rational (total) nonlinear dynamic system modelling, identification, and control. International Journal of Systems Science, 46(12), 2122-2133. https://doi.org/10.1080/00207721.2013.849774

© 2013 Taylor & Francis. This paper is a summary of the research development in the rational (total) nonlinear dynamic modelling over the last two decades. Total nonlinear dynamic systems are defined as those where the model parameters and input (c... Read More about Review of rational (total) nonlinear dynamic system modelling, identification, and control.

Synchronized control with neuro-agents for leader-follower based multiple robotic manipulators (2013)
Journal Article
Zhao, D., Zhu, Q., Li, N., & Li, S. (2014). Synchronized control with neuro-agents for leader-follower based multiple robotic manipulators. Neurocomputing, 124, 149-161. https://doi.org/10.1016/j.neucom.2013.07.016

In this paper, a new neural network enhanced synchronized control approach is proposed for multiple robotic manipulators systems (MRMS) based on the leader-follower network communication topology. The justification of introducing two adaptive Radial... Read More about Synchronized control with neuro-agents for leader-follower based multiple robotic manipulators.

Linking and implementation of fuzzy logic control to ordinate plant strategies (2013)
Journal Article
Furze, J., Zhu, Q. M., Qiao, F., & Hill, J. (2013). Linking and implementation of fuzzy logic control to ordinate plant strategies. International Journal of Modelling, Identification and Control, 19(4), 333-342. https://doi.org/10.1504/IJMIC.2013.055651

Fuzzy control algorithms are used to give structure to the spatial categorisation of plant species by integrating digital elevation model data at increased resolution with data of selected climatic variables (mean precipitation, temperature, ground f... Read More about Linking and implementation of fuzzy logic control to ordinate plant strategies.

Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm (2013)
Journal Article
Qiao, F., Furze, J. N., Furze, J., Zhu, Q., Qaio, F., & Hill, J. (2013). Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm. International Journal of Computer Applications in Technology, 47(1), 68-77. https://doi.org/10.1504/IJCAT.2013.054303

The two key variables in estimating the water-energy dynamic, which determines proportions of plant strategy components on a macro basis, are temperature and precipitation. Additionally, use of high-resolution elevation data facilitates formation of... Read More about Implementing stochastic distribution within the utopia plane of primary producers using a hybrid genetic algorithm.

Mathematical methods to quantify and characterise the primary elements of trophic systems (2013)
Journal Article
Furze, J. N., Furze, J., Zhu, Q., Qiao, F., & Hill, J. (2013). Mathematical methods to quantify and characterise the primary elements of trophic systems. International Journal of Computer Applications in Technology, 47(4), 314-325. https://doi.org/10.1504/IJCAT.2013.055324

Mathematical approaches to plant characterisation are explained, there being a range of tools available to categorise and describe biological and environmental systems. Genetic algorithms (GAs) and fuzzy-logic are techniques used for multiple criteri... Read More about Mathematical methods to quantify and characterise the primary elements of trophic systems.

Functional enrichment of utopian distribution of plant life-forms (2013)
Journal Article
Furze, J., Zhu, Q., Qiao, F., & Hill, J. (2013). Functional enrichment of utopian distribution of plant life-forms. American Journal of Plant Sciences, 4(12A), 37-48. https://doi.org/10.4236/ajps.2013.412A1006

Adaptive fuzzy neural inference systems are used to illustrate the primary nodal number of plant life-forms. Categorization of two candidate areas is carried out using the water-energy dynamic (for Ecuador, South America) and Macedonia, Southern Euro... Read More about Functional enrichment of utopian distribution of plant life-forms.

Progresses in study of pipeline robot (2012)
Presentation / Conference
Du, Y., Zhu, Q., Ghauri, S., Zhai, J., Jia, H., & Nouri, H. (2012, June). Progresses in study of pipeline robot. Paper presented at International Conference on Modelling, Identification and Control, Wuhan, China, June 24-26, 2012, Wuhan, China

A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Implementation and analysis (2012)
Journal Article
Cheng, L., Zheng, X. J., Wu, H. Y., Zhu, Q. M., Wang, Y. J., & Nouri, H. (2012). A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Implementation and analysis. International Journal of Modelling, Identification and Control, 16(1), 50-59. https://doi.org/10.1504/IJMIC.2012.046695

This is the second of a two-part paper that investigates the multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control. In this part, a multiple mobile robot simulation system based on MuRoS is used to simu... Read More about A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Implementation and analysis.

A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Mode description and integration principle (2012)
Journal Article
Cheng, L., Xu, W. X., Wu, H. Y., Zhu, Q. M., Wang, Y. J., & Nouri, H. (2012). A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Mode description and integration principle. International Journal of Modelling, Identification and Control, 15(1), 39-47. https://doi.org/10.1504/IJMIC.2012.043939

This is the first of two-part paper that investigates the multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control. To provide a new procedure to avoid collisions and obstacles in the process of multi-robo... Read More about A new procedure for multi-mode sequential flocking with application to multiple non-holonomic mobile robot motion control: Mode description and integration principle.

Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants (2012)
Journal Article
Du, W., Wu, X., & Zhu, Q. (2012). Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 226(1), 27-42. https://doi.org/10.1177/0959651811409655

Facing the big challenge of directly designing a generalized predictive controller (GPC) for a class of smooth non-linear dynamic plants described with polynomial models, this study reformulates the classical GPC into a U-model-based implementation.... Read More about Direct design of a U-model-based generalized predictive controller for a class of non-linear (polynomial) dynamic plants.

Robust H2 power system stabilizer design using LMI techniques (2011)
Presentation / Conference
Peng, Y., Zhu, Q., & Nouri, H. (2011, December). Robust H2 power system stabilizer design using LMI techniques. Paper presented at ICMIC 2011:International Conference on Modelling, Identification and Control, Dec. 26, 2011 - Dec. 29, 2011, Shanghai, China, Shanghai, China

U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters (2011)
Journal Article
Wu, X., Liu, L., Zhu, Q., Du, W., Wang, B., & Zhang, J. (2011). U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters. International Journal of Modelling, Identification and Control, 13(3), 135-143. https://doi.org/10.1504/IJMIC.2011.041300

In this paper, an adaptive control algorithm within a U-model framework is developed for controlling a class of stochastic non-linear discrete-time models with unknown parameters. With the authors' previous justification, the control-oriented model n... Read More about U-model-based adaptive control for a class of stochastic non-linear dynamic plants with unknown parameters.

A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation (2010)
Journal Article
Zhu, Q., Zhang, L. F., & Longden, A. (2010). A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation. International Journal of Systems Science, 41(9), 1043-1055. https://doi.org/10.1080/00207720903199598

In the present study, a new correlation test-based nonlinear adaptive noise cancellation (ANC) validity monitoring procedure is proposed by following the insight and formulations which were developed by the authors for validating identified nonlinear... Read More about A correlation test-based validity monitoring procedure for online detecting the quality of nonlinear adaptive noise cancellation.

A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems (2010)
Journal Article
Wu, X., Zhang, J., & Zhu, Q. (2010). A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems. Neurocomputing, 73(7-9), 1376-1383. https://doi.org/10.1016/j.neucom.2009.12.002

In this study, a generalized procedure in identification and control of a class of time-varying-delayed nonlinear dynamic systems is developed. Under the framework, recurrent neural network is developed to accommodate the on-line identification, whic... Read More about A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems.

Robust finite-time control approach for robotic manipulators (2010)
Journal Article
Gao, F., Zhao, D., Li, S., & Zhu, Q. (2010). Robust finite-time control approach for robotic manipulators. IET Control Theory and Applications, 4(1), 1-15. https://doi.org/10.1049/iet-cta.2008.0014

In this study, a new robust finite-time stability control approach for robot systems is developed based on finite-time Lyapunov stability principle and proved with backstepping method. The corresponding stability analysis is presented to lay a founda... Read More about Robust finite-time control approach for robotic manipulators.

Accumulative drift model of inertial platform under high frequency linear vibration (2010)
Journal Article
Min Zhu, Q., Fu, Z. X., Zhu, Q., & Nouri, H. (2010). Accumulative drift model of inertial platform under high frequency linear vibration. International Journal of Advanced Mechatronic Systems, 2(1-2), 117-123. https://doi.org/10.1504/IJAMechS.2010.030855

In this study a simplified accumulative drift model is developed to describe the operation of inertial platform under high frequency linear vibration. By featuring the accumulative, rather than instant effect of vibration on the drift of the inertial... Read More about Accumulative drift model of inertial platform under high frequency linear vibration.

Hilbert huang transform impedance measurement data for cellular toxicity monitoring (2009)
Conference Proceeding
Wang, Z., Zhu, Q., Kiely, J., & Luxton, R. W. (2009). Hilbert huang transform impedance measurement data for cellular toxicity monitoring. In N. NA (Ed.), International Conference on Networking, Sensing and Control. , (767-772). https://doi.org/10.1109/ICNSC.2009.4919375

This paper investigates the Hilbert-Huang transformation (HHT), which is adaptive analysis of nonlinear and non-stationary signals. The aim of this study is to apply HHT to impedance measurement data analysis in order to discriminate different types... Read More about Hilbert huang transform impedance measurement data for cellular toxicity monitoring.

A correlation-test-based validation procedure for identified neural networks (2009)
Journal Article
Zhang, L. F., Zhu, Q. M., & Longden, A. (2009). A correlation-test-based validation procedure for identified neural networks. IEEE Transactions on Neural Networks, 20(1), 1-13. https://doi.org/10.1109/TNN.2008.2003223

In this study, an enhanced correlation-test-based validation procedure is developed to check the quality of identified neural networks in modeling of nonlinear systems. The new computation algorithm upgrades the validation power by including a direct... Read More about A correlation-test-based validation procedure for identified neural networks.

Development of a new EDRNN procedure in control of human arm trajectories (2008)
Journal Article
Liu, S., Wang, Y., & Zhu, Q. (2008). Development of a new EDRNN procedure in control of human arm trajectories. Neurocomputing, 72(1-3), 490-499. https://doi.org/10.1016/j.neucom.2007.12.012

In this paper the trajectory tracking control of a human arm moving on the sagittal plane is investigated by an interdisciplinary approach with the combination of neural network mapping, evolutionary computation, and dynamic system control. The arm i... Read More about Development of a new EDRNN procedure in control of human arm trajectories.

Adaptive observer-based non-linear stochastic system control with sliding mode schemes (2008)
Journal Article
Liu, J., Qiao, F., Zhu, Q., & Zhang, F. (2008). Adaptive observer-based non-linear stochastic system control with sliding mode schemes. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 222(7), 681-690. https://doi.org/10.1243/09596518JSCE585

In this paper, an adaptive sliding mode observer is designed to reconstruct the states of non-linear stochastic systems with uncertainties from the measurable system output and the reconstructed states are employed to construct a sliding mode control... Read More about Adaptive observer-based non-linear stochastic system control with sliding mode schemes.

Development of omni-directional correlation functions for nonlinear model validation (2007)
Journal Article
Zhu, Q. M., Feng Zhang, L., & Longden, A. (2007). Development of omni-directional correlation functions for nonlinear model validation. Automatica, 43(9), 1519-1531. https://doi.org/10.1016/j.automatica.2007.02.010

In the present study a set of first order correlation functions are proposed to examine the quality of a wide class of identified nonlinear models. The first order correlation functions, defined as omni-directional correlation functions, are integrat... Read More about Development of omni-directional correlation functions for nonlinear model validation.

Stable adaptive neurocontrol for nonlinear discrete-time systems (2004)
Journal Article
Zhu, Q., & Guo, L. (2004). Stable adaptive neurocontrol for nonlinear discrete-time systems. IEEE Transactions on Neural Networks, 15(3), 653-662. https://doi.org/10.1109/TNN.2004.826131

This paper presents a novel approach in designing neural network based adaptive controllers for a class of nonlinear discrete-time systems. This type of controllers has its simplicity in parallelism to linear generalized minimum variance (GMV) contro... Read More about Stable adaptive neurocontrol for nonlinear discrete-time systems.

A fast convergent extended Kalman observer for nonlinear discrete-time systems (2002)
Journal Article
Guo, L. Z., & Zhu, Q. (2002). A fast convergent extended Kalman observer for nonlinear discrete-time systems. International Journal of Systems Science, 33(13), 1051-1058. https://doi.org/10.1080/0020772021000046225

A new extended Kalman observer for nonlinear discrete-time systems is derived. As always, stability and convergence rate depend directly on the matrices Qk and Rk and the initial state estimation error, the new observer has made improvement on these... Read More about A fast convergent extended Kalman observer for nonlinear discrete-time systems.

A pole placement controller for nonlinear dynamic plants (2002)
Journal Article
Zhu, Q., & Guo, L. Z. (2002). A pole placement controller for nonlinear dynamic plants. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 216(6), 467-476. https://doi.org/10.1177/095965180221600603

In this study a control-oriented model is proposed to represent a wide range of non-linear discrete-time dynamic plants. As a testimony to the efficiency of the model structure for control system design, a pole placement controller is designed for no... Read More about A pole placement controller for nonlinear dynamic plants.

Urine flow rate shape template and intermittent flow in males
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Urine flow rate shape template and intermittent flow in males. Presented at International Continence Society annual meeting 2018

Uroflowmetry serves as a preliminary urodynamic test for physicians to indicate the possible cause of lower urinary tract symptoms. Alongside the most researched parameter maximum flow rate (Qmax), the shape of urine flow rate curve is also reported... Read More about Urine flow rate shape template and intermittent flow in males.

Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males. Presented at International Continence Society annual meeting 2018

Detrusor underactivity (DU) and bladder outlet obstruction (BOO) bother almost half of elder men. Although the treatment is different for these two lower urinary tract symptoms, invasive pressure flow studies remains the only gold standard for diagno... Read More about Multivariate analysis of variance for maximising the diagnosing accuracy in differentiating DU from BOO in males.

Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males. Presented at International Continence Society annual meeting 2018

It remains a challenge to non-invasively differentiate detrusor underactivity (DU) from bladder outlet obstruction (BOO) in males, and the gold standard is pressure flow studies, which is invasive, relatively expensive and may cause bleeding and infe... Read More about Median frequency and sum of amplitude changes in rising slope: Two potential non-invasive indicators for differentiating DU from BOO in males.

Mathematical modelling analysis of male urine flow traces
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Mathematical modelling analysis of male urine flow traces

Differentiating non-invasively detrusor underactivity (DU) from bladder outlet obstruction (BOO) in men remains a challenge. Invasive pressure flow studies (PFS) are still required despite many years of study. The shape of the urine free flow curve... Read More about Mathematical modelling analysis of male urine flow traces.

Mathematical modelling analysis of male urine flow traces
Presentation / Conference
Li, R., Gammie, A., Zhu, Q., & Nibouche, M. Mathematical modelling analysis of male urine flow traces

Differentiating non-invasively detrusor underactivity (DU) from bladder outlet obstruction (BOO) in men remains a challenge. Invasive pressure flow studies (PFS) are still required despite many years of study. The shape of the urine free flow curve h... Read More about Mathematical modelling analysis of male urine flow traces.