SYNCHRONIZATION OF TAKAGI-SUGENO FUZZY STOCHASTIC DELAYED COMPLEX NETWORKS WITH HYBRID COUPLING

被引:16
作者
Tang, Yang [1 ,2 ]
Fang, Jian-An [1 ]
机构
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Hong Kong Polytech Univ, Inst Text & Clothing, Kowloon, Hong Kong, Peoples R China
来源
MODERN PHYSICS LETTERS B | 2009年 / 23卷 / 20-21期
基金
中国国家自然科学基金;
关键词
Takagi-Sugeno (T-S) fuzzy model; complex networks; Kronecker product; stochastic perturbation; hybrid coupling; CHAOTIC NEURAL-NETWORKS; ADAPTIVE SYNCHRONIZATION; GLOBAL SYNCHRONIZATION; SYSTEMS; ARRAY; DISCRETE;
D O I
10.1142/S0217984909020606
中图分类号
O59 [应用物理学];
学科分类号
摘要
In this paper, we propose and investigate a general model of fuzzy complex networks described by the Takagi Sugeno (T S) fuzzy model with hybrid coupling and stochastic perturbation. The hybrid coupling includes constant coupling and discrete and distributed delay coupling. By utilizing a new Lyapunov functional form, we employ the stochastic analysis techniques and Kronecker product to develop delay-dependent synchronization criteria that ensure mean-square synchronization of the addressed T-S fuzzy delayed complex networks with stochastic disturbances. These sufficient conditions are computationally efficient, as it can be solved numerically by the LMI toolbox in Matlab. A numerical example is provided to demonstrate the effectiveness and the applicability of the proposed method.
引用
收藏
页码:2429 / 2447
页数:19
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