New Criteria on Exponential Lag Synchronization of Switched Neural Networks with Time-Varying Delays

被引：9
作者：
Cao, Yuting [1 ,2 ,3 ]
Wen, Shiping [1 ,2 ,3 ]
Huang, Tingwen [4 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Educ Minist China, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
[3] Hamad bin Khalifa Univ, Coll Sci Engn & Technol, Doha 23874, Qatar
[4] Texas A&M Univ Qatar, Doha 23874, Qatar
来源：
NEURAL PROCESSING LETTERS | 2017年 / 46卷 / 02期
关键词：
Neural network; Lag synchronization; Time-varying delay; UNKNOWN TRANSITION-PROBABILITIES; ROBUST STABILITY ANALYSIS; SAMPLED-DATA CONTROL; GLOBAL SYNCHRONIZATION; DISCRETE; STABILIZATION; SYSTEMS; OPTIMIZATION; CONTROLLER; DESIGN;
D O I：
10.1007/s11063-017-9599-1
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 addresses the problem of global exponential lag synchronization of switched neural networks with time-varying delays and general activation functions. Based on the Lyapunov-Krasovskii functional method and free weighting matrix technique, delay-dependent criteria for the global exponential lag synchronization of switched neural networks are derived in form of linear matrix inequalities. A numerical example is utilized to illustrate the characteristics of the results.
引用
收藏
页码：451 / 466
页数：16
相关论文
共 56 条
[1]   Global synchronization in an array of delayed neural networks with hybrid coupling [J].
Cao, Jinde ;
Chen, Guanrong ;
Li, Ping .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (02) :488-498
[2]   Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks [J].
Chandrasekar, A. ;
Rakkiyappan, R. .
NEUROCOMPUTING, 2016, 173 :1348-1355
[3]   Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach [J].
Chandrasekar, A. ;
Rakkiyappan, R. ;
Cao, Jinde .
NEURAL NETWORKS, 2015, 70 :27-38
[4]   Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control [J].
Chandrasekar, A. ;
Rakkiyappan, R. ;
Rihan, Fathalla A. ;
Lakshmanan, S. .
NEUROCOMPUTING, 2014, 133 :385-398
[5]  
Chen G., 1998, From Chaos to Order: Methodologies, Perspectives and Applications
[6]   Memristor crossbar-based unsupervised image learning [J].
Chen, Ling ;
Li, Chuandong ;
Huang, Tingwen ;
Chen, Yiran ;
Wang, Xin .
NEURAL COMPUTING & APPLICATIONS, 2014, 25 (02) :393-400
[7]  
Chua L, 2002, CELLULAR NETWORKS VI
[8]   An integral inequality in the stability problem of time-delay systems [J].
Gu, KQ .
PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, :2805-2810
[9]   Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling [J].
Guo, Zhenyuan ;
Yang, Shaofu ;
Wang, Jun .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 26 (06) :1300-1311
[10]   Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks with Time Delays via Static or Dynamic Coupling [J].
Guo, Zhenyuan ;
Wang, Jun ;
Yan, Zheng .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2015, 45 (02) :235-249
123456