Finite-time synchronization problem of a class of discontinuous Cohen-Grossberg neural networks with mixed delays via new switching design

被引:1
|
作者
Xiang, Zhaohong [1 ]
Li, Runjie [2 ]
机构
[1] Changsha Univ, Dept Math & Comp Sci, Changsha 410022, Peoples R China
[2] Sci & Technol Management Serv Hunan Torch Entrepr, Changsha 410000, Peoples R China
基金
中国国家自然科学基金;
关键词
Finite-time synchronization; Cohen-Grossberg neural networks; Discontinuous activations; Mixed delays; STABILITY ANALYSIS; DYNAMICAL-SYSTEMS; ACTIVATIONS; CRITERIA;
D O I
10.1186/s13662-021-03542-2
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates a class of generalized Cohen-Grossberg neural networks (CGNNs) with discontinuous activations and mixed delays. Based on the nonsmooth analysis theory, the drive-response concept, differential inclusions theory, we give several basic assumptions to gain the finite-time synchronization issue of CGNNs. Sufficient conditions are provided without the boundedness or monotonicity of discontinuous activation functions. Moreover, one can estimate the settling time's upper bounds of the system. At last, two numerical examples and their simulations are given to further show the benefits of the obtained control approach.
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收藏
页数:13
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