DocumentCode :
2252101
Title :
Input and output passivity of coupled reaction-diffusion neural networks with impulsive effects
Author :
Pu-Chong, Wei ; Jin-Liang, Wang ; Yan-Li, Huang ; Bei-Bei, Xu
Author_Institution :
School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin 300387, P.R. China
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
3512
Lastpage :
3517
Abstract :
In this paper, we respectively investigate the input strict passivity and output strict passivity of coupled reaction-diffusion neural networks with impulsive effects. By constructing suitable Lyapunov functional and utilizing some inequality techniques, several input strict passivity and output strict passivity conditions are derived for the coupled reaction-diffusion neural networks with impulsive effects. Finally, an example is given to illustrate the correctness and effectiveness of the proposed results.
Keywords :
Artificial neural networks; Couplings; Mathematical model; Neurons; Symmetric matrices; Synchronization; Coupled Reaction-Diffusion Neural Networks; Impulsive Effects; Input Strict Passivity; Output Strict Passivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7260181
Filename :
7260181
Link To Document :
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