Article ID Journal Published Year Pages File Type
406437 Neurocomputing 2015 9 Pages PDF
Abstract

This paper investigates the output feedback robust stabilization problem of a class of switched fuzzy systems with immeasurable states and actuator saturation. A switched state observer is designed to obtain the estimations of the unmeasured states. By using parallel compensation design (PDC) scheme, a robust fuzzy output feedback control law and the signal switching law are constructed, respectively. The sufficient conditions of ensuring the switched fuzzy control system asymptotic stabilization are proposed and formulated in the form of linear matrix inequalities (LMIs). It is proved that proposed control scheme can guarantee that whole closed-loop system is asymptotically stable in the sense of the Lyapunov function. One numerical example and a practical example are given to illustrate the effectiveness of the proposed control method.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Authors
, ,