理论(学习稳定性)
控制理论(社会学)
集合(抽象数据类型)
跳跃
马尔可夫过程
离散时间和连续时间
数学
控制器(灌溉)
国家(计算机科学)
计算机科学
控制(管理)
算法
物理
统计
量子力学
人工智能
机器学习
农学
生物
程序设计语言
作者
Jianhua Wang,Qingling Zhang,Xing‐Gang Yan,Ding Zhai
摘要
Summary This paper considers the stochastic stability and stabilization of discrete‐time singular Markovian jump systems with partially unknown transition probabilities. Firstly, a set of necessary and sufficient conditions for the stochastic stability is proposed in terms of LMIs, then a set of sufficient conditions is proposed for the design of a state feedback controller to guarantee that the corresponding closed‐loop systems are regular, causal, and stochastically stable by employing the LMI technique. Finally, some examples are provided to demonstrate the effectiveness of the proposed approaches. Copyright © 2014 John Wiley & Sons, Ltd.
科研通智能强力驱动
Strongly Powered by AbleSci AI