线性化
控制器(灌溉)
马尔可夫链
数学
控制理论(社会学)
耗散系统
李雅普诺夫函数
马尔可夫过程
应用数学
事件(粒子物理)
对角线的
跳跃
基质(化学分析)
计算机科学
离散数学
控制(管理)
非线性系统
统计
几何学
物理
人工智能
生物
复合材料
材料科学
量子力学
农学
作者
Jie Tao,Zehui Xiao,Jiawei Chen,Ming Lin,Renquan Lu,Peng Shi,Xiaofeng Wang
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2021-09-01
卷期号:53 (3): 1537-1546
被引量:29
标识
DOI:10.1109/tcyb.2021.3105179
摘要
In order to save network resources of discrete-time Markov jump systems, an event-triggered control framework is employed in this article. The threshold parameter in the event-triggered mechanism is designed as a diagonal matrix in which all elements can be adjusted according to system performance requirements. The hidden Markov model is introduced to characterize the asynchronization between the controller and controlled system. The effect of randomly occurring gain fluctuations is taken into account during the controller design. For the purpose of guaranteeing that the closed-loop system is stochastically stable and satisfies the strictly $(\mathcal {D}_{1},\mathcal {D}_{2},\mathcal {D}_{3})-\gamma -$ dissipative performance, sufficient conditions are constructed by employing the Lyapunov function and stochastic analysis. After linearization, the proposed controller gains are obtained by solving the linear matrix inequalities. Ultimately, a practical example of the dc motor device is used to illustrate the effectiveness of the proposed new design technique.
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