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Analysis of linear asynchronous hybrid stochastic systems and its application to multi-agent systems with Markovian switching topologies

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  • Shixian Luo
  • Feiqi Deng
  • Xueyan Zhao

Abstract

This paper studies the stability and stabilisation of a class of asynchronous hybrid stochastic systems described by linear Markov jump systems with asynchronous parameters induced by hysteretic mode and input delay. By exploring the essential properties of the Markov chain and developing novel Lyapunov function/functional based approaches, we derive sufficient conditions in terms of sizes of the delays ensuring the mean square asymptotical stability of the systems. Interestingly, the Lyapunov functional based approach further leads to the mean square stability criteria that depend only on the drift part and allow an arbitrary large delay for the diffusion part, which is different from the Lyapunov-Razumikhin based results. The theoretical results are applied to solve the consensus problems of multi-agent systems with Markovian switching topologies and input delay. Numerical examples demonstrate the established results.

Suggested Citation

  • Shixian Luo & Feiqi Deng & Xueyan Zhao, 2019. "Analysis of linear asynchronous hybrid stochastic systems and its application to multi-agent systems with Markovian switching topologies," International Journal of Systems Science, Taylor & Francis Journals, vol. 50(9), pages 1757-1770, July.
    • Handle: RePEc:taf:tsysxx:v:50:y:2019:i:9:p:1757-1770
    DOI: 10.1080/00207721.2019.1624871
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