线性化
离散时间和连续时间
控制理论(社会学)
数学
跳跃
马尔可夫过程
跳跃过程
班级(哲学)
国家(计算机科学)
随机矩阵
过渡(遗传学)
基质(化学分析)
控制(管理)
应用数学
非线性系统
计算机科学
马尔可夫链
算法
物理
基因
生物化学
量子力学
人工智能
材料科学
统计
化学
复合材料
作者
Lixian Zhang,El‐Kébir Boukas
摘要
Abstract In this paper, the problem of H ∞ control for a class of discrete‐time Markovian jump linear system with partly unknown transition probabilities is investigated. The class of systems under consideration is more general, which covers the systems with completely known and completely unknown transition probabilities as two special cases. Moreover, in contrast to 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 H ∞ controllers to be designed include state feedback and dynamic output feedback, since the latter covers the static one. The sufficient conditions for the existence of the desired controllers are derived within the matrix inequalities framework, and a cone complementary linearization algorithm is exploited to solve the latent equation constraints in the output‐feedback control case. Two numerical examples are provided to show the validness and potential of the developed theoretical results. Copyright © 2008 John Wiley & Sons, Ltd.
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