Baolong Zhu
Harbin Institute of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Baolong Zhu.
International Journal of Systems Science | 2017
Baolong Zhu; Zhiping Zhang; Ding Zhou; Jie Ma; Shunli Li
ABSTRACT This paper investigates the H∞ control problem of the attitude stabilisation of a rigid spacecraft with external disturbances using prediction-based sampled-data control strategy. Aiming to achieve a ‘virtual’ closed-loop system, a type of parameterised sampled-data controller is designed by introducing a prediction mechanism. The resultant closed-loop system is equivalent to a hybrid system featured by a continuous-time and an impulsive differential system. By using a time-varying Lyapunov functional, a generalised bounded real lemma (GBRL) is first established for a kind of impulsive differential system. Based on this GBRL and Lyapunov functional approach, a sufficient condition is derived to guarantee the closed-loop system to be asymptotically stable and to achieve a prescribed H∞ performance. In addition, the controller parameter tuning is cast into a convex optimisation problem. Simulation and comparative results are provided to illustrate the effectiveness of the developed control scheme.
Circuits Systems and Signal Processing | 2017
Baolong Zhu; Jie Ma; Shunli Li
This paper proposes a novel filtering strategy characterized by an impulsive differential system. It provides an alternative solution to the problem of
Knowledge Based Systems | 2018
Mingliang Suo; Baolong Zhu; Yanquan Zhang; Ruoming An; Shunli Li
Journal of Vibration and Control | 2018
Baolong Zhu; Zhiping Zhang; Mingliang Suo; Ying Chen; Shunli Li
L_2-L_\infty
Journal of The Franklin Institute-engineering and Applied Mathematics | 2018
Baolong Zhu; Mingliang Suo; Ying Chen; Zhiping Zhang; Shunli Li
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering | 2018
Mingliang Suo; Baolong Zhu; Ding Zhou; Ruoming An; Shunli Li
L2-L∞ filtering for two kinds of network-based linear time-invariant systems. The presented method highlights two features, “plug and play” and “always feasible,” because it is simple and does not need to solve any complex constrained optimization problems. For measurable and unmeasurable system states, two different filter frameworks are presented, respectively. The proposed filtering strategy could guarantee the asymptotic stability of the filtering error system, while ensuring an
International Journal of Systems Science | 2018
Baolong Zhu; Jie Ma; Zhiping Zhang; Hui Feng; Shunli Li
Transactions of the Institute of Measurement and Control | 2017
Baolong Zhu; Jie Ma; Shunli Li
L_2-L_\infty
Optimal Control Applications & Methods | 2018
Baolong Zhu; Mingliang Suo; Zhiping Zhang; Min Li; Shunli Li
chinese control conference | 2017
Baolong Zhu; Zhiping Zhang; Mingliang Suo; Zhenhua Yu; Shunli Li
L2-L∞ performance. At the same time, the relationship between the