Fuzzy H-infinity filtering for nonlinear Markovian jump neutral systems
This article is concerned with the problem of H-infinity filter design for nonlinear Markovian jump neutral systems through the Takagi-Sugeno fuzzy model approach. By using a novel Markovian switched Lyapunov functional, a delay-dependent bounded real lemma (BRL) is presented in terms of linear matrix inequalities. Based on the derived BRL, both normal H-infinity filters and non-fragile H-infinity filters are designed, which guarantee that the corresponding filtering error systems are stochastically stable with a specified H-infinity performance level. A numerical example is given to demonstrate the effectiveness of the proposed approach.
fuzzy h-infinity filtering neutral systems nonlinear markovian jump systems non-fragile filter delay-dependent criteria