计算机科学
人工神经网络
同步(交流)
控制(管理)
控制理论(社会学)
芝诺悖论
李雅普诺夫函数
事件(粒子物理)
上下界
分布式计算
数学
人工智能
计算机网络
非线性系统
量子力学
物理
频道(广播)
数学分析
几何学
作者
Wen Sun,Zixin Yuan,Zhenyu Lu,Junhao Hu,Shihua Chen
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2020-09-02
卷期号:52 (5): 3855-3866
被引量:18
标识
DOI:10.1109/tcyb.2020.3012707
摘要
Time delays are unavoidable since they are ubiquitous and may have a great impact on the performance of neural networks. Resources efficiency is a common concern in many networked systems with limited resources. This article investigates quasisynchronization of the heterogeneous neural networks with time-varying delays via event-triggered impulsive controls which combine the impulsive control and the event-triggered technique. The centralized and distributed event-triggered impulsive controls are, respectively, presented. The suitable Lyapunov functions are constructed, and the triggering functions are derived, which guarantee that not only are the synchronization errors less than a non-negative bound but also the Zeno behaviors can be eliminated. It is suggested that the distributed one has great superiority in taking up fewer resources compared with the time-triggered impulsive control. Numerical examples are proposed to verify the validity of the centralized and distributed control methods.
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