Global exponential robust stability of reaction¿diffusion interval neural networks with time-varying delays

作者: Linshan Wang , Yuying Gao

DOI: 10.1016/J.PHYSLETA.2005.10.031

关键词: Reaction–diffusion systemPerturbation (astronomy)PhysicsArtificial neural networkVerifiable secret sharingApplied mathematicsExponential functionTopological degree theoryEquilibrium 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.

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