伯努利分布
控制理论(社会学)
控制器(灌溉)
计算机科学
异步通信
伯努利原理
线性矩阵不等式
Lyapunov稳定性
奇异值分解
隐马尔可夫模型
理论(学习稳定性)
方案(数学)
数学
控制(管理)
算法
数学优化
工程类
随机变量
电信
人工智能
数学分析
航空航天工程
机器学习
统计
生物
农学
摘要
Abstract This paper is concerned with the issue of hybrid‐triggered scheme asynchronous control for networked Markov jump systems (MJSs) with probabilistic cyber attacks. First, in view of the subsistent phenomenon that the controller cannot capture the system modes synchronously, the hidden Markov model (HMM) with partly unknown probabilities is introduced in this article to describe such asynchronous phenomenon. In addition, the hybrid‐triggered scheme includes time‐triggered scheme and event‐triggered scheme, in which the switching signal between two schemes obeys random Bernoulli distribution. By utilizing Lyapunov stability theory and matrix inequality technique, some sufficient conditions are developed, which can guarantee the networked MJSs mean‐square asymptotically stable (MSAS) and performance; also, the desired controller gains are obtained by singular value decomposition (SVD) methods. Moreover, as the special cases of the results above, three corollaries are given. Finally, a numerical example and a pulse width‐modulation‐driven boost converter (PWMDBC) model are provided to demonstrate the usefulness and reliability of our developed approaches.
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