马尔可夫链
控制理论(社会学)
计算机科学
异步通信
马尔可夫过程
协议(科学)
事件(粒子物理)
李雅普诺夫函数
分布式计算
控制(管理)
数学
计算机网络
非线性系统
机器学习
物理
病理
统计
人工智能
医学
替代医学
量子力学
作者
Jun Cheng,Ju H. Park,Huaicheng Yan,Zheng‐Guang Wu
出处
期刊:Automatica
[Elsevier]
日期:2022-08-13
卷期号:145: 110525-110525
被引量:40
标识
DOI:10.1016/j.automatica.2022.110525
摘要
This paper addresses the dynamic output feedback control issue for nonhomogeneous Markov switching systems with an event-triggered round-robin protocol. The transition probability matrix of the nonhomogeneous Markov process is time-varying, which can be characterized by a polytopic structure. To alleviate the communication burden in a shared network, as a first effort, a novel dynamic event-triggered round-robin protocol is forwarded to regulate whether to release the measurements and which ones to release. In light of the dynamic event-triggered round-robin protocol, an asynchronous dynamic output feedback control law is constructed, which reflects the mismatching phenomenon of modes switching between the nonhomogeneous Markov switching systems and the desired controllers. By resorting to a novel Lyapunov functional, sufficient conditions are attained to guarantee the stochastic stability of the augmented dynamic. At last, two examples are addressed to verify the effectiveness and applicability of the theoretic results.
科研通智能强力驱动
Strongly Powered by AbleSci AI