Passivity and Synchronization of Coupled Reaction–Diffusion Cohen–Grossberg Neural Networks with Fixed and Switching Topologies

被引:0
作者
Yanli Huang
Weizhong Chen
Shunyan Ren
Zewei Zheng
机构
[1] Tianjin Polytechnic University,School of Computer Science and Software Engineering, Tianjin Key Laboratory of Optoelectronic Detection Technology and System
[2] Guangxi University for Nationalities,Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis
[3] Tianjin Polytechnic University,School of Computer Science and Software Engineering
[4] Tianjin Polytechnic University,School of Mechanical Engineering
[5] Beihang University,School of of Automation Science and Electrical Engineering
来源
Neural Processing Letters | 2019年 / 49卷
关键词
Coupled Cohen–Grossberg neural networks; Reaction–diffusion terms; Switching topology; Passivity; Synchronization;
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学科分类号
摘要
This paper investigates the passivity and synchronization of coupled reaction–diffusion Cohen–Grossberg neural networks (CRDCGNNs) with constant and delayed couplings respectively. On the one side, a CRDCGNNs model with fixed topology is introduced, and several sufficient conditions which ensure passivity and synchronization for this type of network are derived respectively by exploiting some inequality techniques and constructing appropriate Lyapunov functional. On the other side, considering that topology structure of a network may change by switches in some cases, we also concern on the passivity and synchronization of CRDCGNNs with switching topology. Finally, the correctness of the obtained passivity and synchronization criteria are corroborated by two illustrative examples.
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页码:1433 / 1457
页数:24
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