Stabilizing fuzzy static output control for a class of nonlinear systems

The paper presents new conditions suitable in design of a stabilizing static output controller for a class of continuous-time nonlinear systems represented by Takagi-Sugeno models, and measurable premise variables. Based on an enhanced Lyapunov inequality, the design conditions are outlined in the terms of linear matrix inequalities to possess a stable closed-loop system closest to optimal asymptotic properties. Simulation result illustrates the design procedure and demonstrates the performances of the proposed design method.