Sampled-Data Synchronization for Complex Dynamical Networks with Time-Varying Coupling Delay and Random Coupling Strengths

被引:0
|
作者
Wang, Jian-An [1 ]
Wen, Xin-Yu [1 ]
机构
[1] Taiyuan Univ Sci & Technol, Sch Elect Informat Engn, Taiyuan 030024, Shanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
EXPONENTIAL SYNCHRONIZATION; NEURAL-NETWORKS; INEQUALITY;
D O I
10.1155/2014/457457
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper is concerned with the problem of sampled-data synchronization for complex dynamical networks (CDNs) with time-varying coupling delay and random coupling strengths. The random coupling strengths are described by normal distribution. The sampling period considered here is assumed to be less than a given bound. By taking the characteristic of sampled-data system into account, a discontinuous Lyapunov functional is constructed, and a delay-dependent mean square synchronization criterion is derived. Based on the proposed condition, a set of desired sampled-data controllers are designed in terms of linear matrix inequalities (LMIs) that can be solved effectively by using MATLAB LMI Toolbox. Numerical examples are given to demonstrate the effectiveness of the proposed scheme.
引用
收藏
页数:11
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