Passivity and synchronization of coupled reaction-diffusion neural networks with multiple time-varying delays via impulsive control

被引：29

作者：

Tang, Hong-An ^{[1
,3
,4
]}

Duan, Shukai ^{[1
,3
,4
]}

Hu, Xiaofang ^{[2
,3
,4
]}

Wang, Lidan ^{[1
,3
,4
]}

机构：

[1] Southwest Univ, Coll Elect & Informat Engn, Chongqing 400715, Peoples R China

[2] Southwest Univ, Sch Comp & Informat Sci, Chongqing 400715, Peoples R China

[3] Natl & Local Joint Engn Lab Intelligent Transmiss, Chongqing 400715, Peoples R China

[4] Brain Inspired Comp & Intelligent Control Chongqi, Chongqing 400715, Peoples R China

来源：

NEUROCOMPUTING | 2018年 / 318卷

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Impulsive control; Passivity; Synchronization; Neural networks; Reaction-diffusion; Multiple time-varying delays; SAMPLED-DATA SYNCHRONIZATION; EXPONENTIAL STABILITY; PASSIFICATION; TERMS;

D O I：

10.1016/j.neucom.2018.08.005

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 investigates the passivity and synchronization of multiple delayed coupled reaction-diffusion neural networks (MDCRDNNs) with different dimensions of output and input vectors by means of impulsive control. By introducing suitable Lyapunov functionals and employing some analytical techniques, sufficient conditionsare derived to guarantee the passivity and globally exponential synchronization of MDCRDNNs under impulsive control. Finally, three simulation examples are performed to illustrate the results. (C) 2018 Published by Elsevier B.V.

引用

页码：30 / 42

页数：13

共 44 条

[1] Research on urban public traffic network with multi-weights based on single bus transfer junction [J].

An Xin-lei ;

Zhang Li ;

Zhang Jian-gang .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 436 :748-755

[2]

[Anonymous], 1994, SIAM STUDIES APPL MA

[3] Exponential Synchronization for Markovian Stochastic Coupled Neural Networks of Neutral-Type via Adaptive Feedback Control [J].

Chen, Huabin ;

Shi, Peng ;

Lim, Cheng-Chew .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (07) :1618-1632

[4] Passivity and synchronization of coupled reaction-diffusion Cohen-Grossberg neural networks with state coupling and spatial diffusion coupling [J].

Chen, Weizhong ;

Huang, Yanli ;

Ren, Shunyan .

NEUROCOMPUTING, 2018, 275 :1208-1218

[5] Impulsive Effects and Stability Analysis on Memristive Neural Networks With Variable Delays [J].

Duan, Shukai ;

Wang, Huamin ;

Wang, Lidan ;

Huang, Tingwen ;

Li, Chuandong .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (02) :476-481

[6] Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays [J].

Guo, Zhenyuan ;

Wang, Jun ;

Yan, Zheng .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (11) :2099-2109

[7] Neural network model predictive control optimisation for large wind turbines [J].

Han, Bing ;

Kong, Xiaofang ;

Zhang, Zhiwen ;

Zhou, Lawu .

IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (14) :3491-3498

[8] Hybrid adaptive synchronization strategy for linearly coupled reaction-diffusion neural networks with time-varying coupling strength [J].

He, Chao ;

Li, Junmin .

NEUROCOMPUTING, 2018, 275 :1769-1781

[9] A Memristive Multilayer Cellular Neural Network With Applications to Image Processing [J].

Hu, Xiaofang ;

Feng, Gang ;

Duan, Shukai ;

Liu, Lu .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (08) :1889-1901

[10] Analysis and pinning control for passivity of coupled reaction-diffusion neural networks with nonlinear coupling [J].

Huang, Yan-Li ;

Xu, Bei-Bei ;

Ren, Shun-Yan .

NEUROCOMPUTING, 2018, 272 :334-342

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