All Outputs (7)

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.