Event-triggered passivity and synchronization of delayed multiple-weighted coupled reaction-diffusion neural networks with non-identical nodes

被引：37
|
作者：
Lin, Shanrong [1 ]
Huang, Yanli [1 ]
Ren, Shunyan [2 ]
机构：
[1] Tiangong Univ, Sch Comp Sci & Technol, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China
[2] Tiangong Univ, Sch Mech Engn, Tianjin 300387, Peoples R China
来源：
NEURAL NETWORKS | 2020年 / 121卷
基金：
中国国家自然科学基金;
关键词：
Event-triggered control; Synchronization; Multiple weights; Passivity; Non-identical nodes; Coupled reaction-diffusion neural networks; COMPLEX DYNAMICAL NETWORKS; CLUSTER SYNCHRONIZATION; PINNING CONTROL; ROBUST SYNCHRONIZATION; EXPONENTIAL STABILITY; ADAPTIVE-CONTROL; ARRAY; STRATEGIES;
D O I：
10.1016/j.neunet.2019.08.031
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper solves the event-triggered passivity and synchronization problems for delayed multiple-weighted coupled reaction-diffusion neural networks (DMWCRDNNs) composed of non-identical nodes with and without parameter uncertainties. On one side, by designing appropriate event-triggered controllers, several passivity and synchronization criteria for DMWCRDNNs with certain parameters under the designed event-triggered conditions are derived based on the Lyapunov functional method and some inequality techniques. On the other side, we consider that the external perturbations may lead the parameters in network model to containing uncertainties, robust event-triggered passivity and synchronization for DMWCRDNNs with parameter uncertainties are investigated. Finally, two examples with numerical simulation results are provided to illustrate the effectiveness of the obtained theoretical results. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：259 / 275
页数：17
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