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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.

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.

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.