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