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Robust Control of Networked System and Its Application

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  • Control Theory and Applications
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Abstract

In this paper, the stability issue of networked system with dynamical topology in intelligent vehicle is studied. The systems are comprised by multi-vehicles coupled by vehicle network. The topological structure of vehicle network is subject to jump, and control signals are exchanged by the communication network with random network-induced delay. Firstly, the discrete-time state space equation for coupled intelligent vehicle with switching topology is modeled. Then, two output feedback controllers are designed by considering the coupling of controllers or not. In which, a new output feedback coupled-controller is designed in order to achieve decouple. Furthermore, the delay-dependent stability conditions on Lyapunov-functional method are given to guarantee the stochastic stability of the closed-loop networked system. Finally, a simulation experiment is executed to illustrate the designed method and verify the stability performance.

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Authors and Affiliations

  1. School of Automation Engineering, and Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China (UESTC), Chengdu, Sichuan, 611731, China

    Meng Li & Yong Chen

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  1. Meng Li
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Correspondence to Meng Li.

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This work was supported by the National Natural Science Foundation of China under grant (61903064 and 61973331), the Key Research and Development Program of Sichuan Province under grant (2021YFG0205), the China Postdoctoral Science Foundation funded project under grant (2019M663479), the Fundamental Research Funds for the Central Universities under grant (ZYGX2019J058), the National Key Research and Development Plan Programs of China under grant (2018YFB0106101), and the Postdoctoral Fund Project of University of Electronic Science and Technology of China (UESTC).

Meng Li received his B.S. degree in applied math from Yanan University in 2012, an M.S. degree in applied math from Xihua University in 2015, and a Ph.D. degree in control science and engineering from the School of Automation Engineering, University of Electronic Science and Technology of China (UESTC) in 2018. From 2017 to 2018, he was a Joint PhD student with the School of Electrical and Electronic Engineering, The University of Adelaide. Since Jan. 2019, He was a postdoctor with UESTC. He is currently an associate researcher with the School of Automation Engineering, UESTC. He has published over 20 technical papers in journals and conferences. His current research interests include networked control systems, cyberphysical systems and sliding-mode control.

Yong Chen received his B.S. degree in industrial automation from Taiyuan University of Science and Technology, Taiyuan, Shanxi, in 2001, an M.S. degree in control theory and control engineering from Guangxi University, Nanning, Guangxi, in 2004 and a Ph.D degree in control theory and control engineering from Chongqing University, Chongqing, in 2007. Since 2015, he has been a Professor and the Ph.D. Supervisor in the School of Automation Engineering and the Director of the Institute of Electric Vehicle Driving System and Safety Technology, University of Electronic Science and Technology of China, Chengdu, China. He was a Visiting Scholar in the School of Mechanical Engineering, University of Adelaide. He is currently presiding over one National Natural Science Foundation of China project, National Key Research and Development Plan Programs of China and the Scientific and Technical Supporting Programs of Sichuan Province. He has published more than 80 technical papers in journals and 40 Chinese patents. His current research interests include fault-tolerant control, network control and intelligent connected system.

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Li, M., Chen, Y. Robust Control of Networked System and Its Application. Int. J. Control Autom. Syst. 19, 2622–2633 (2021). https://doi.org/10.1007/s12555-020-0471-0

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