Fuzzy-Affine-Model-Based Memory Filter Design of Nonlinear Systems With Time-Varying Delay

摘要: This paper studies the piecewise-affine memory $\mathscr {H}_{\infty }$ filtering problem for nonlinear systems with time-varying delay in a delay-dependent framework. The plant is characterized by continuous-time Takagi–Sugeno fuzzy-affine model parametric uncertainties. purpose to develop new approach filter synthesis procedure less conservatism. Specifically, constructing novel Lyapunov–Krasovskii functional, together Wirtinger-based integral inequality, reciprocally convex inequality and S-procedure, an improved criterion first attained analyzing performance of error system, then via some linearization techniques, carried out. It shown that existence desired gains can be explicitly determined solution optimization problem. Finally, simulation are presented reveal effectiveness conservatism developed approaches. anticipated proposed scheme further extended analysis dynamic integrated communication delays networked circumstance.