间歇控制
控制理论(社会学)
计算机科学
理论(学习稳定性)
控制(管理)
协议(科学)
数学
控制工程
工程类
人工智能
医学
替代医学
病理
机器学习
作者
Hui Zhou,Yuting Chen,Dianhui Chu,Wenxue Li
标识
DOI:10.1016/j.nahs.2022.101304
摘要
The aim of this article is to research the stabilization issue of complex-valued stochastic Markovian switching complex networks with time delays and time-varying multi-links (CSMCTM) via periodic self-triggered intermittent impulsive control (PSIIC). Thereinto, PSIIC is designed for the first time by combining intermittent impulsive control with periodic self-triggered control for intermittent control. It is worth emphasizing that the triggered protocol is designed to be more flexible, and easier to implement than previously reported triggered protocol. Then, by means of impulsive control, intermittent control, event-driven control theory and stability analysis, a stabilization criterion of CSMCTM in the sense of exponential stability in mean square is obtained. Whereafter, the stability of a class of complex-valued inertial neural networks is researched as a practical application of our theoretical results. Ultimately, a numerical example gives a corresponding verification.
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