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

页码：259 / 275

页数：17

共 50 条

[1] Event-triggered passivity and synchronization of multiple derivative coupled reaction-diffusion neural networks
Wang, Yihao
NEUROCOMPUTING, 2024, 586
[2] Event-triggered pinning passivity and synchronization of multiple spatial diffusion coupled reaction-diffusion neural networks
Wang, Yihao
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2024, 130
[3] Event-triggered pinning control for passivity and synchronization of directly coupled delayed reaction-diffusion neural networks
Lin, Shanrong
Liu, Xiwei
Huang, Yanli
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2024, 38 (02) : 558 - 579
[4] Event-Triggered Synchronization of Coupled Neural Networks with Reaction-Diffusion Terms
Aili, Abulajiang
Chen, Shenglong
Zhang, Sibao
MATHEMATICS, 2024, 12 (09)
[5] Event-triggered synchronization and H8 synchronization of coupled delayed reaction-diffusion memristive neural networks
Lin, Shanrong
Liu, Xiwei
Huang, Yanli
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2023, 46 (08) : 9079 - 9102
[6] Event-triggered passivity and synchronization of coupled reaction-diffusion neural networks with and without time-varying delay
Lin, Shanrong
Liu, Xiwei
Huang, Yanli
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2022, 44 (11) : 2117 - 2140
[7] Adaptive Event-Triggered Synchronization of Reaction-Diffusion Neural Networks
Zhang, Ruimei
Zeng, Deqiang
Park, Ju H.
Liu, Yajuan
Xie, Xiangpeng
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (08) : 3723 - 3735
[8] Distributed Event-Triggered Control for Output Synchronization of Dynamical Networks with Non-identical Nodes
Liu, Tao
Cao, Ming
Hill, David J.
2014 IEEE 53RD ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2014, : 3554 - 3559
[9] Event-triggered synchronization for delayed reaction-diffusion neural networks under hybrid deception attacks
Cao, Yanyi
Cao, Yuting
KNOWLEDGE-BASED SYSTEMS, 2024, 301
[10] Passivity and synchronization of switched coupled reaction-diffusion neural networks with non-delayed and delayed couplings
Huang, Yan-Li
Ren, Shun-Yan
Wu, Jigang
Xu, Bei-Bei
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2019, 96 (09) : 1702 - 1722

← 1 2 3 4 5 →