作者: Pu-Chong Wei , Jin-Liang Wang , Yan-Li Huang , Bei-Bei Xu , Shun-Yan Ren
DOI: 10.1016/J.NEUCOM.2015.06.021
关键词: Correctness 、 Passivity 、 Artificial neural network 、 Lyapunov functional 、 Diffusion (business) 、 Mathematics 、 Control theory
摘要: In this paper, we respectively investigate the input strict passivity and output of impulsive coupled reaction-diffusion neural networks with without time-varying delay. By constructing suitable Lyapunov functionals utilizing some inequality techniques, several conditions are derived for Finally, two numerical examples given to illustrate correctness effectiveness proposed results.