作者: Linshan Wang , Yuying Gao
DOI: 10.1016/J.PHYSLETA.2005.10.031
关键词: Reaction–diffusion system 、 Perturbation (astronomy) 、 Physics 、 Artificial neural network 、 Verifiable secret sharing 、 Applied mathematics 、 Exponential function 、 Topological degree theory 、 Equilibrium point
摘要: Abstract The authors discuss the existence of equilibrium point and its global exponential robust stability for reaction–diffusion interval neural networks with time-varying delays by means topological degree theory Lyapunov-functional method. Since diffusion phenomena, time delay perturbation due to noises as well some unforced man-made faults could not be ignored in networks, model presented here is close actual systems, sufficient conditions on established this Letter, which are easily verifiable, have a wider adaptive range.