伯努利分布
伯努利原理
控制理论(社会学)
马尔可夫链
数学
网络数据包
李雅普诺夫函数
马尔可夫过程
控制器(灌溉)
计算机科学
跳跃
数据包丢失
上下界
控制系统
理论(学习稳定性)
应用数学
概率分布
分布(数学)
数学优化
概率密度函数
联合概率分布
Lyapunov稳定性
随机变量
随机过程
马尔可夫模型
分组交换
功能(生物学)
伯努利过程
作者
Pengyu Zeng,Feiqi Deng,Ze-Hao Wu,Xiaobin Gao
标识
DOI:10.1016/j.sysconle.2025.106294
摘要
This paper considers the problem of event-triggered control (ETC) for Markov jump systems (MJSs) with random consecutive packet losses. According to the Bernoulli distribution of a single packet loss, consecutive packet losses are discussed and the corresponding probability distribution is provided. Considering that packet losses cause old triggered data to be used such that Zeno behavior occurs, a hybrid event-triggering scheme (HETS) including a predetermined fixed triggering lower bound is adopted. Then the influences of consecutive packet losses on triggering scheme are presented and new triggering inequalities are derived based on the number of lost packets. By resorting to Lyapunov function method, sufficient conditions including the number of lost packets and its probability distribution are developed to guarantee the stochastic stability of MJSs. Finally, the parameters of HETS and controller gains are designed and the effectiveness of the developed results is illustrated by two numerical examples.
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