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Stochastic admissibility and H∞ output feedback control for singular Markov jump systems under dynamic measurement output event-triggered strategy

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  • Sun, Meng
  • Zhuang, Guangming
  • Xia, Jianwei
  • Wang, Yanqian
  • Chen, Guoliang

Abstract

This paper investigates the stochastic admissibility and H∞ dynamic output feedback control for singular Markov jump systems under dynamic measurement output event-triggered strategy. By applying singular value decomposition technique and constructing novel Lyapunov–Krasovskii functional based on dynamic measurement output event-triggering mechanism, improved conditions are realized such that the singular Markov jump closed-loop system satisfies stochastic admissibility and H∞ performance index. Moreover, dynamic output feedback controller gains are obtained via linear matrix inequality technique. Finally, the serviceability of proposed methods is demonstrated by direct current motor driven load and a numerical example.

Suggested Citation

  • Sun, Meng & Zhuang, Guangming & Xia, Jianwei & Wang, Yanqian & Chen, Guoliang, 2022. "Stochastic admissibility and H∞ output feedback control for singular Markov jump systems under dynamic measurement output event-triggered strategy," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).
    • Handle: RePEc:eee:chsofr:v:164:y:2022:i:c:s0960077922008165
    DOI: 10.1016/j.chaos.2022.112635
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    References listed on IDEAS

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