Synchronization of Takagi-Sugeno fuzzy stochastic complex networks with mixed delays

被引：5
作者：
Tang, Yang [1 ]
Fang, Jian-an [1 ]
Xia, Min [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年
关键词：
Takagi-Sugeno system; mixed delays; synchronization; stochastic disturbances; complex networks; TIME-VARYING DELAYS; CHAOTIC NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; DYNAMICAL NETWORKS; COUPLING DELAYS; SYSTEMS; DISCRETE; STABILITY; CRITERIA; ARRAY;
D O I：
10.1109/ICICTA.2009.431
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose and investigate a model of fuzzy stochastic complex networks described by Takagi-Sugeno (T-S) fuzzy model with discrete and distributed time-delays. By utilizing a new Lyapunov functional form, we employ the stochastic analysis techniques and Kronecker product to develop delay-dependent synchronization criteria that ensure the mean-square synchronization of the addressed T-S fuzzy delayed complex networks with stochastic disturbances.
引用
收藏
页码：810 / 813
页数：4
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