同步(交流)
控制理论(社会学)
人工神经网络
外稃(植物学)
计算机科学
非线性系统
区间(图论)
指数函数
数学
控制(管理)
拓扑(电路)
人工智能
数学分析
物理
组合数学
生物
量子力学
禾本科
生态学
作者
K. Pooja Lakshmi,T. Senthilkumar
标识
DOI:10.1016/j.matcom.2023.02.009
摘要
This paper discusses the synchronization results like robust exponential synchronization (RES) and exponential synchronization (ES) of uncertain infinite time-varying flexible delayed impulsive neural networks with and without distributed delay. First, we introduced a new lemma based on fundamental solution matrix for solving nonlinear neural networks by utilizing average impulsive interval (AII) and average impulsive delay (AID). Further, we examined some novel RES and ES results for proposed neural networks via the method of variation of constants. Finally, numerical examples are given to validate the proposed results, and the effectiveness of flexible delayed impulsive control is demonstrated using graphical representations.
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