Relaxed Exponential Stabilization for Coupled Memristive Neural Networks With Connection Fault and Multiple Delays via Optimized Elastic Event-Triggered Mechanism

被引：6

作者：

Wang, Xiangxiang ^{[1
]}

Yu, Yongbin ^{[1
]}

Cai, Jingye ^{[1
]}

Zhong, Shouming ^{[2
]}

Yang, Nijing ^{[1
]}

Shi, Kaibo ^{[3
,4
,5
]}

Adu, Kwabena ^{[1
]}

Tashi, Nyima ^{[6
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 610054, Sichuan, Peoples R China

[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China

[3] Chengdu Univ, Sch Elect Informat & Elect Engn, Chengdu 610106, Peoples R China

[4] Chengdu Univ, Key Lab Pattern Recognit & Intelligent Informat P, Chengdu 610106, Peoples R China

[5] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Huzhou, Huzhou 313001, Peoples R China

[6] Tibet Univ, Sch Informat Sci & Technol, Lhasa 850012, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2023年 / 34卷 / 07期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Delays; Artificial neural networks; Memristors; Symmetric matrices; Switches; Delay effects; Couplings; Connection fault; delay-product-type functionals; event-triggered mechanism; memristive neural networks (NNs); relaxed exponential stabilization; uniformly ultimately bounded; INFINITY FILTER DESIGN; DISSIPATIVITY ANALYSIS; STABILITY ANALYSIS; STATE ESTIMATION; JUMP SYSTEMS; TIME-DELAY; SYNCHRONIZATION; INEQUALITY;

D O I：

10.1109/TNNLS.2021.3112068

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article investigates the problem of relaxed exponential stabilization for coupled memristive neural networks (CMNNs) with connection fault and multiple delays via an optimized elastic event-triggered mechanism (OEEM). The connection fault of the two or some nodes can result in the connection fault of other nodes and cause iterative faults in the CMNNs. Therefore, the method of backup resources is considered to improve the fault-tolerant capability and survivability of the CMNNs. In order to improve the robustness of the event-triggered mechanism and enhance the ability of the event-triggered mechanism to process noise signals, the time-varying bounded noise threshold matrices, time-varying decreased exponential threshold functions, and adaptive functions are simultaneously introduced to design the OEEM. In addition, the appropriate Lyapunov-Krasovskii functionals (LKFs) with some improved delay-product-type terms are constructed, and the relaxed exponential stabilization and globally uniformly ultimately bounded (GUUB) conditions are derived for the CMNNs with connection fault and multiple delays by means of some inequality processing techniques. Finally, two numerical examples are provided to illustrate the effectiveness of the results.

引用

页码：3501 / 3515

页数：15

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