Almost sure stabilization of hybrid systems by intermittent stochastic noise with jumps

Wei Mao, Xuerong Mao, Fuke Wu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper is concerned with the almost sure stabilization of hybrid systems by introducing intermittent stochastic noise with jumps. By means of the Lyapunov function method and the ergodic property of Markov chain, sufficient conditions are given for stability of hybrid stochastic systems with intermittent stochastic noise. With the aid of the comparison method and M-matrix theory, it is shown that hybrid systems can be stabilized by discrete-time intermittent stochastic feedback control provided the duration between two consecutive observations is sufficient small. Finally, two examples are presented to illustrate our results.
Original languageEnglish
Article number112373
JournalAutomatica
Volume178
Early online date16 May 2025
DOIs
Publication statusE-pub ahead of print - 16 May 2025

Funding

We would like to thanks the editior and reviewers for their helpful comments and suggestions. Wei Mao would like to thank the Qing Lan Project of Jiangsu Province. Fuke Wu would like to thank the National Natural Science Foundation of China (Grant No. 62273158). Xuerong Mao would like to thank the Royal Society, United Kingdom (WM160014, Royal Society Wolfson Research Merit Award), the Royal Society of Edinburgh, United Kingdom (RSE1832) for their financial support.

Keywords

  • hybrid stochastic systems
  • Poisson random measure
  • almost sure stochastic stabilization
  • intermittent stochastic feedback control
  • discrete-time state observation

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