Abstract
In this paper, we focus on the guaranteed cost control for nonlinear neutral systems with time-varying delays represented by Takagi-Sugeno (T-S) fuzzy model. A linear quadratic cost function is considered as a performance index of the nonlinear neutral systems. The problem addressed that of designing a guaranteed cost control that guarantees the asymptotically stable of the nonlinear neutral systems. The sufficient stability conditions are derived via Lyapunov--Krasovskii functionals (LKF). When these conditions, which are given in terms of linear matrix inequalities (LMIs), are satisfied, the designed controller gain matrices can be obtained via a convex optimization. Furthermore, an illustrative example is provided to demonstrate the effectiveness of the proposed design procedure.
