Controller design for fixed-time synchronization of nonlinear coupled Cohen-Grossberg neural networks with switching parameters and time-varying delays based on synchronization dynamics analysis

被引:12
作者
Wang, Xin [1 ]
Fang, Jian-an [2 ]
Zhou, Wuneng [2 ]
机构
[1] Huaiyin Normal Univ, Sch Comp Sci & Technol, Huaian 223300, Jiangsu, Peoples R China
[2] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
Synchronization dynamics; Cohen-Grossberg neural networks; Fixed-time synchronization; Time-varying delays; Switching parameters; SAMPLED-DATA CONTROL; FINITE-TIME; EXPONENTIAL SYNCHRONIZATION; PINNING SYNCHRONIZATION; COMPLEX NETWORKS; STABILITY; PASSIVITY; STABILIZATION;
D O I
10.1007/s11071-019-05309-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper addresses the fixed-time synchronization controller design problem for a class of nonlinear coupled Cohen-Grossberg neural networks (NCCGNNs) with switching parameters and time-varying delays based on synchronization dynamics analysis. First, a class of NCCGNNs with switching parameters and time-varying delays are considered. Second, according to the derived sufficient condition, a fixed-time synchronization controller is designed. Moreover, the advantages and disadvantages of the designed controller are discussed. Third, to improve the disadvantages of the obtained control method, by using synchronization dynamics analysis, some fixed-time synchronization controllers are further designed. Finally, two examples illustrate the usefulness and feasibility of the derived theoretical results.
引用
收藏
页码:2079 / 2096
页数:18
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