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Event-triggered dynamic output feedback control for networked Markovian jump systems with partly unknown transition rates

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  • Pan, Suying
  • Zhou, Jin
  • Ye, Zhiyong

Abstract

This paper addresses the problem of event-triggered dynamic output feedback control for uncertain Markovian jump systems with partly unknown transition rates. An event-triggered dynamic output feedback control scheme is proposed to stabilize a class of uncertain networked Markovian jump systems with partly unknown transition rates, and a suitable Lyapunov–Krasovskii functional is then introduced to guarantee the asymptotical stability in mean-square sense of the closed-loop controlled system. It is shown that the proposed control scheme is relatively convenient to choose the control gain matrices by the use of the Matlab LMIs Toolbox, and thus it might be convenient to application in practice. Finally, numerical examples are presented to illustrate the effectiveness of the proposed methodology.

Suggested Citation

  • Pan, Suying & Zhou, Jin & Ye, Zhiyong, 2021. "Event-triggered dynamic output feedback control for networked Markovian jump systems with partly unknown transition rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 539-561.
    • Handle: RePEc:eee:matcom:v:181:y:2021:i:c:p:539-561
    DOI: 10.1016/j.matcom.2020.10.003
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    Cited by:

    1. Zhang, Ziyu & Yang, Xinsong & Lam, Hak-Keung & Xiang, Zhengrong, 2024. "Event-triggered control for switched systems with sensor faults via adaptive fuzzy observer," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 221(C), pages 244-259.
    2. Xiao, Hanni & Zhu, Quanxin & Karimi, Hamid Reza, 2022. "Stability analysis of semi-Markov switching stochastic mode-dependent delay systems with unstable subsystems," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).

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