1 research outputs found
Optimal Fuzzy Control for a Class of Nonlinear Systems
The paper presents conditions suitable in design giving quadratic performances to stabilizing controllers
for given class of continuous-time nonlinear systems, represented by Takagi-Sugeno models.
Based on extended Lyapunov function and slack matrices, the design conditions are outlined in the terms of linear matrix inequalities to possess a stable
structure closest to LQ performance, if premise variables are measurable. Simulation results illustrate
the design procedure and demonstrate the performances of the proposed control design method