同步(交流)
控制理论(社会学)
人工神经网络
边界(拓扑)
反应扩散系统
常量(计算机编程)
对数
计算机科学
控制(管理)
李雅普诺夫函数
数学
拓扑(电路)
非线性系统
人工智能
数学分析
物理
组合数学
量子力学
程序设计语言
作者
Chuan Zhang,Xiang Han,Xianfu Zhang,Yongfeng Guo,Hao Zhang
摘要
Summary This paper investigates the synchronization of reaction‐diffusion neural networks (RDNNs) with distributed delay via quantized boundary control. To reduce the communication burden, a novel control strategy combined boundary control and logarithmic quantizer is proposed, and two controllers respectively subject to constant and adaptive coefficients are carried out. Worth mentioning that the adaptive feedback gain is a matrix in this paper rather than a one‐dimensional variable in most of the existing literatures. Using the Lyapunov functional, the sufficient conditions for delay‐dependent synchronization are obtained through linear matrix inequalities. The effectiveness of the proposed control strategy is illustrated via two examples.
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