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Stability Analysis of Discrete-Time Stochastic Systems with Borel-Measurable Markov Jumps

机译:具有Borel可测Markov跳的离散时间随机系统的稳定性分析

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This paper is devoted to stability analysis of discrete-time linear systems with Borel-measurable Markov jump parameters and independent multiplicative noises. The relationships are investigated among several stability concepts about the considered dynamics. Specifically, it is shown that strong exponential stability in the mean square sense can guarantee exponential stability, l_2 input-output stability and stochastic stability to hold. Moreover, both exponential stability and l_2 input-output stability give rise to stochastic stability. By a numerical example, it is demonstrated that Borel-measurable Markov jump systems must not be exponentially stable even if it is stochastically stable.
机译:本文致力于具有Borel可测量的Markov跳变参数和独立的乘性噪声的离散时间线性系统的稳定性分析。研究了有关考虑的动力学的几个稳定性概念之间的关系。具体地,表明了在均方意义上的强指数稳定性可以保证指数稳定性,l_2输入-输出稳定性和随机稳定性得以保持。而且,指数稳定性和l_2输入-输出稳定性都会引起随机稳定性。通过数值例子表明,即使是随机稳定的,可测量Borel的Markov跳跃系统也不一定是指数稳定的。

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