理论(学习稳定性)
数学
控制理论(社会学)
马尔可夫过程
跳跃
线性系统
班级(哲学)
过渡(遗传学)
跳跃过程
应用数学
计算机科学
控制(管理)
数学分析
物理
统计
机器学习
人工智能
化学
基因
量子力学
生物化学
作者
Lixian Zhang,E.K. Boukas
出处
期刊:Automatica
[Elsevier]
日期:2009-02-01
卷期号:45 (2): 463-468
被引量:773
标识
DOI:10.1016/j.automatica.2008.08.010
摘要
In this paper, the stability and stabilization problems of a class of continuous-time and discrete-time Markovian jump linear system (MJLS) with partly unknown transition probabilities are investigated. The system under consideration is more general, which covers the systems with completely known and completely unknown transition probabilities as two special cases — the latter is hereby the switched linear systems under arbitrary switching. Moreover, in contrast with the uncertain transition probabilities studied recently, the concept of partly unknown transition probabilities proposed in this paper does not require any knowledge of the unknown elements. The sufficient conditions for stochastic stability and stabilization of the underlying systems are derived via LMIs formulation, and the relation between the stability criteria currently obtained for the usual MJLS and switched linear systems under arbitrary switching, are exposed by the proposed class of hybrid systems. Two numerical examples are given to show the validity and potential of the developed results.
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