非周期图
控制理论(社会学)
异步通信
人工神经网络
计算机科学
理论(学习稳定性)
控制(管理)
数学
人工智能
计算机网络
机器学习
组合数学
作者
Lina Fan,Quanxin Zhu,Hamid Reza Karimi
摘要
Abstract This paper is dedicated to studying the mean square exponential stability of switched stochastic time‐varying delay neural networks with asynchronous switching aperiodic intermittent control. By utilizing the Halanay‐type inequality and designing appropriate asynchronous switching aperiodic intermittent control, several novel stability criteria of switched stochastic delay neural networks with asynchronous aperiodic intermittent control are presented under the Lyapunov function method and Lyapunov functional method. Among them, asynchronous switching aperiodic intermittent controllers are more practical and flexible compared to state feedback controllers. Finally, we provide two examples to verify the effectiveness of the theoretical results.
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