Finite-time topology identification and stochastic synchronization of complex network with multiple time delays

2017 ◽  
Vol 219 ◽  
pp. 39-49 ◽  
Author(s):  
Hui Zhao ◽  
Lixiang Li ◽  
Haipeng Peng ◽  
Jinghua Xiao ◽  
Yixian Yang ◽  
...  
2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
Wuneng Zhou ◽  
Xueqing Yang ◽  
Jun Yang ◽  
Jun Zhou

The problem of stochastic synchronization of neutral-type neural networks with multidelays based onM-matrix is researched. Firstly, we designed a control law of stochastic synchronization of the neural-type and multiple time-delays neural network. Secondly, by making use of Lyapunov functional andM-matrix method, we obtained a criterion under which the drive and response neutral-type multiple time-delays neural networks with stochastic disturbance and Markovian switching are stochastic synchronization. The synchronization condition is expressed as linear matrix inequality which can be easily solved by MATLAB. Finally, we introduced a numerical example to illustrate the effectiveness of the method and result obtained in this paper.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 145457-145468
Author(s):  
Shuowei Jin ◽  
Aiyun Yan ◽  
Yongheng Pang ◽  
Bowen Zhou ◽  
Shaoxin Sun

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