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
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