Impulsive synchronization of fractional Takagi-Sugeno fuzzy complex networks

2016 ◽  
Vol 26 (8) ◽  
pp. 084311 ◽  
Author(s):  
Weiyuan Ma ◽  
Changpin Li ◽  
Yujiang Wu
Keyword(s):  
Complex Networks ◽  
Impulsive Synchronization ◽  
Takagi Sugeno

Impulsive synchronization of complex networks with non-delayed and delayed coupling

2009 ◽  
Vol 373 (46) ◽  
pp. 4255-4259 ◽  
Author(s):  
Song Zheng ◽  
Gaogao Dong ◽  
Qinsheng Bi
Keyword(s):  
Complex Networks ◽  
Impulsive Synchronization ◽  
Delayed Coupling

Delayed impulsive synchronization of discrete-time complex networks with distributed delays

2015 ◽  
Vol 82 (4) ◽  
pp. 2081-2096 ◽  
Author(s):  
Zhen Li ◽  
Jian-an Fang ◽  
Wenbing Zhang ◽  
Xin Wang
Keyword(s):  
Complex Networks ◽  
Discrete Time ◽  
Distributed Delays ◽  
Impulsive Synchronization

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

2009 ◽  
Vol 23 (20n21) ◽  
pp. 2429-2447 ◽  
Author(s):  
YANG TANG ◽  
JIAN-AN FANG
Keyword(s):  
Complex Networks ◽  
Sufficient Conditions ◽  
Distributed Delay ◽  
Stochastic Perturbation ◽  
Fuzzy Model ◽  
Computationally Efficient ◽  
Stochastic Disturbances ◽  
Hybrid Coupling ◽  
Delay Dependent ◽  
Takagi Sugeno

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.

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