Title :
Robust Fuzzy Design for Nonlinear Uncertain Stochastic Systems via Sliding-Mode Control
Author :
Ho, Daniel W C ; Niu, Yugang
Author_Institution :
City Univ. of Hong Kong, Hong Kong
fDate :
6/1/2007 12:00:00 AM
Abstract :
This paper deals with the sliding-mode control (SMC) problem for nonlinear stochastic time-delay systems by means of fuzzy approach. The Takagi-Sugeno (T-S) fuzzy stochastic time-delay model with parametric uncertainties and unknown nonlinearities is presented. A sufficient condition for the exponential stability in mean square of the sliding motion is also derived. Moreover, it is shown that when the linear matrix inequalities (LMIs) with equality constraint are feasible, the designs of both sliding surface and sliding-mode controller can be easily obtained via convex optimization. A simulation example illustrating the proposed method is given.
Keywords :
control nonlinearities; control system synthesis; convex programming; delays; fuzzy control; linear matrix inequalities; nonlinear control systems; robust control; stochastic systems; uncertain systems; variable structure systems; LMI; Takagi-Sugeno fuzzy stochastic time-delay model; convex optimization; linear matrix inequalities; nonlinear uncertain stochastic systems; parametric uncertainties; robust fuzzy design; sliding-mode control; unknown nonlinearies; Fuzzy control; Fuzzy systems; Robust control; Sliding mode control; Stability; Stochastic processes; Stochastic systems; Sufficient conditions; Takagi-Sugeno model; Uncertainty; Fuzzy control; nonlinear uncertainties; sliding-mode control (SMC); stochastic systems;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.880006