Event -triggered passivity of multi -weighted coupled delayed reaction -diffusion memristive neural networks with fixed and switching topologies

被引:31
作者
Huang, Yanli [1 ,2 ]
Lin, Shanrong [1 ]
Yang, Erfu [2 ]
机构
[1] Tiangong Univ, Tianjin Key Lab Optoelect Detect Technol & Syst, Sch Comp Sci & Technol, 399 Binshui West Rd, Tianjin 300387, Peoples R China
[2] Univ Strathclyde, Dept Design Mfg & Engn Management, Fac Engn, Glasgow G1 1XJ, Lanark, Scotland
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2020年 / 89卷
基金
中国国家自然科学基金; 北京市自然科学基金;
关键词
COMPLEX NETWORKS; PINNING CONTROL; EXPONENTIAL SYNCHRONIZATION; TIME SYNCHRONIZATION; DYNAMICAL-SYSTEMS; STABILITY; STRATEGIES;
D O I
10.1016/j.cnsns.2020.105292
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper solves the event-triggered passivity problem for multiple-weighted coupled delayed reaction-diffusion memristive neural networks (MWCDRDMNNs) with fixed and switching topologies. On the one side, by designing appropriate event-triggered controllers, several passivity criteria for MWCDRDMNNs with fixed topology are derived based on the Lyapunov functional method and some inequality techniques. Moreover, some adequate conditions for ensuring asymptotical stability of the event-triggered passive network are presented. On the other side, we take the switching topology in network model into consideration, and investigate the event-triggered passivity and passivity-based synchronization for MWCDRDMNNs with switching topology. Finally, two examples with numerical simulation results are provided to illustrate the effectiveness of the obtained theoretical results. © 2020 Elsevier B.V.
引用
收藏
页数:28
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