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
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;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260181