马尔可夫链脉冲非线性切换正系统的稳定性分析

Mingzheng Yu, Ticao Jiao, Housheng Zhang, Lei Wang
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引用次数: 0

摘要

研究了包含随机脉冲的正非线性脉冲开关系统的随机指数稳定性问题。随机脉冲意味着脉冲密度的随机性和脉冲的出现是一个马尔可夫链。脉冲的发生时刻也满足平均脉冲间隔。本文采用多重最大可分Lyapunov函数方法研究了异步/同步开关和脉冲两种情况。然后给出了随机指数稳定性条件。最后,通过两个实例验证了理论结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stability Analysis for Nonlinear Switched Positive Systems With Markov Chain Impulses
The aim of this paper is to investigate the issue of stochastically exponential stability in positive nonlinear impulsive switching systems that involve random impulses. The random impulses means that the randomness of impulsive densities and the occurrence of the impulses is a Markov chain. The occurrence instants of impulses also satisfy average impulsive intervals. This research employs the multiple max-separable Lyapunov function method to investigate two cases: asynchronous/synchronous switching and impulses. Then the stochastic exponential stability conditions are given. Finally, to demonstrate the validity of the theoretical results, two illustrative examples are provided.
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