Robust H∞ filter design for uncertain stochastic Markovian jump Hopfield neural networks with mode-dependent time-varying delays

摘要: This paper addresses the problem of robust H"~ filter design for a class stochastic Markovian jump Hopfield neural networks with mode-dependent time-varying delays and norm-bounded parameter uncertainties. The purpose is to linear filtering which ensures that, all admissible uncertainties, error system not only stochastically asymptotically stable in large, but also satisfies prescribed H"~-norm level. Some novel delay-dependent sufficient conditions solvability this are obtained. desired can be constructed by solving set strict matrix inequalities. A numerical example provided illustrate effectiveness proposed method.