Synchronization of complex-valued neural networks with mixed two additive time-varying delays

被引：37

作者：

Yuan, Yuefei ^{[1
]}

Song, Qiankun ^{[1
]}

Liu, Yurong ^{[2
,3
]}

Alsaadi, Fuad E. ^{[3
]}

机构：

[1] Chongqing Jiaotong Univ, Dept Math, Chongqing 400074, Peoples R China

[2] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China

[3] King Abdulaziz Univ, Fac Engn, CSN Res Grp, Jeddah 21589, Saudi Arabia

来源：

NEUROCOMPUTING | 2019年 / 332卷

基金：

中国国家自然科学基金;

关键词：

Complex-valued neural networks; Additive time-varying delays; Synchronization; Complex-valued linear matrix inequality; DEPENDENT STABILITY-CRITERIA; ASYMPTOTIC STABILITY; DISCRETE; SYSTEMS; BOUNDEDNESS; FAILURES;

D O I：

10.1016/j.neucom.2018.12.023

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 focus on the synchronization of complex-valued neural networks (CVNNs) with both discrete and distributed two additive time-varying delays. By applying matrix inequality technique and exploiting reciprocally convex approach, several delay-dependent criteria are presented in the form of linear matrix inequalities (LMIs) to ensure the global synchronization of CVNNs via structuring an appropriate Lyapunov-Krasovskii functional. An example with simulations is provided to ensure the feasibility of the obtained result. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：149 / 158

页数：10

共 45 条

[31] Global asymptotic stability of complex-valued neural networks with additive time-varying delays [J].

Subramanian, K. ;

Muthukumar, P. .

COGNITIVE NEURODYNAMICS, 2017, 11 (03) :293-306

[32] Improved delay-dependent stability criteria for neural networks with two additive time-varying delay components [J].

Tian, Junkang ;

Zhong, Shouming .

NEUROCOMPUTING, 2012, 77 (01) :114-119

[33] Further analysis of global μ-stability of complex-valued neural networks with unbounded time-varying delays [J].

Velmurugan, G. ;

Rakkiyappan, R. ;

Cao, Jinde .

NEURAL NETWORKS, 2015, 67 :14-27

[34] Finite-Time H∞ State Estimation for Discrete Time-Delayed Genetic Regulatory Networks Under Stochastic Communication Protocols [J].

Wan, Xiongbo ;

Wang, Zidong ;

Han, Qing-Long ;

Wu, Min .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (10) :3481-3491

[35] Resilient Filtering for Linear Time-Varying Repetitive Processes Under Uniform Quantizations and Round-Robin Protocols [J].

Wang, Fan ;

Wang, Zidong ;

Liang, Jinling ;

Liu, Xiaohui .

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2018, 65 (09) :2992-3004

[36] Synchronization for an array of coupled stochastic discrete-time neural networks with mixed delays [J].

Wang, Huiwei ;

Song, Qiankun .

NEUROCOMPUTING, 2011, 74 (10) :1572-1584

[37] Synchronization Control for a Class of Discrete-Time Dynamical Networks With Packet Dropouts: A Coding-Decoding-Based Approach [J].

Wang, Licheng ;

Wang, Zidong ;

Han, Qing-Long ;

Wei, Guoliang .

IEEE TRANSACTIONS ON CYBERNETICS, 2018, 48 (08) :2437-2448

[38] Stability and Hopf Bifurcation of a Three-Neuron Network with Multiple Discrete and Distributed Delays [J].

Wang, Zhen ;

Li, Li ;

Li, Yuxia ;

Cheng, Zunshui .

NEURAL PROCESSING LETTERS, 2018, 48 (03) :1481-1502

[39] A New Chaotic Attractor Around a Pre-Located Ring [J].

Wang, Zhen ;

Xu, Zhe ;

Mliki, Ezzedine ;

Akgul, Akif ;

Viet-Thanh Pham ;

Jafari, Sajad .

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2017, 27 (10)

[40] New approaches on stability criteria for neural networks with two additive time-varying delay components [J].

Xiao, Nan ;

Jia, Yingmin .

NEUROCOMPUTING, 2013, 118 :150-156

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