DocumentCode :
737798
Title :
Passivity and Synchronization of Linearly Coupled Reaction-Diffusion Neural Networks With Adaptive Coupling
Author :
Jin-Liang Wang ; Huai-Ning Wu ; Tingwen Huang ; Shun-Yan Ren
Author_Institution :
Sch. of Comput. Sci. & Software Eng., Tianjin Polytech. Univ., Tianjin, China
Volume :
45
Issue :
9
fYear :
2015
Firstpage :
1942
Lastpage :
1952
Abstract :
In this paper, we study a general array model of coupled reaction-diffusion neural networks (NNs) with adaptive coupling. In order to ensure the passivity of the coupled reaction-diffusion neural networks, some adaptive strategies to tune the coupling strengths among network nodes are designed. By utilizing some inequality techniques and the designed adaptive laws, several sufficient conditions ensuring passivity are obtained. In addition, we reveal the relationship between passivity and synchronization of the coupled reaction-diffusion NNs. Based on the obtained passivity results and the relationship between passivity and synchronization, a global synchronization criterion is established. Finally, numerical simulations are presented to illustrate the correctness and effectiveness of the proposed results.
Keywords :
neural nets; numerical analysis; reaction-diffusion systems; synchronisation; NN; adaptive coupling; adaptive laws; coupling strengths; general array model; global synchronization criterion; inequality techniques; linearly coupled reaction-diffusion neural networks; network nodes; numerical simulations; passivity; Artificial neural networks; Couplings; Equations; Neurons; Symmetric matrices; Synchronization; Adaptive coupling; coupled reaction-diffusion neural networks; passivity; synchronization;
fLanguage :
English
Journal_Title :
Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
2168-2267
Type :
jour
DOI :
10.1109/TCYB.2014.2362655
Filename :
6932471
Link To Document :
بازگشت