Robust synchronization of uncertain chaotic neural networks with randomly occurring uncertainties and non-fragile output coupling delayed feedback controllers

被引：12
|
作者：
Vembarasan, V. [1 ,2 ]
Balasubramaniam, P. [1 ]
Chan, Chee Seng [2 ]
机构：
[1] Gandhigram Rural Inst Deemed Univ, Dept Math, Gandhigram 624302, Tamil Nadu, India
[2] Univ Malaya, Ctr Image & Signal Proc, Fac Comp Sci & Informat Technol, Kuala Lumpur 50603, Malaysia
来源：
NONLINEAR DYNAMICS | 2014年 / 78卷 / 03期
关键词：
Chaos synchronization; Linear matrix inequalities; Lyapunov-Krasovskii functional; Neural networks; Non-fragile controllers; Randomly occurring uncertainties; TIME-VARYING DELAY; EXPONENTIAL SYNCHRONIZATION; SECURE COMMUNICATION; STATE ESTIMATION; SYSTEMS; COMBINATION; DESIGN;
D O I：
10.1007/s11071-014-1586-8
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
This paper deals with the synchronization control problem for the uncertain chaotic neural networks with randomly occurring uncertainties and randomly occurring control gain fluctuations. By introducing an improved Lyapunov-Krasovskii functional and employing reciprocally convex approach, a delay-dependent non-fragile output feedback controller is designed to achieve synchronization with the help of a drive-response system and the linear matrix inequality approach. Finally, numerical results and its simulations are given to show the effectiveness of the derived results.
引用
收藏
页码：2031 / 2047
页数：17
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