Title :
Generalized stability conditions for Takagi-Sugeno fuzzy time-delay systems
Author_Institution :
Dept. of Electr. Eng. & Electron., Aoyama Gakuin Univ., Tokyo, Japan
Abstract :
In this paper, we consider generalized delay-dependent stability conditions of Takagi-Sugeno fuzzy time-delay systems. In the literature, both delay-independent stability conditions and delay-dependent stability conditions for fuzzy time-delay systems have already been obtained. However, those conditions are rather conservative and do not guarantee wide stability regions. This is true in case of designing stabilizing controllers for fuzzy time-delay systems and it thus leads to a conservative fuzzy controller design as well. We first make a generalized transformation of fuzzy time-delay system to obtain generalized delay-dependent stability conditions. In such a generalized transformation, we have some arbitrary matrices that generalize a system representation. In fact, these matrices generalize not only the system representation but also delay-dependent stability conditions. Delay-dependent conditions depend on the upper bound of time-delay and are given in linear matrix inequalities (LMIs). Then, we compare our generalized delay-dependent stability condition with other stability conditions in the literature, and show that our condition is a generalized one. Next, we consider the stabilization problem. Based on our generalized delay-dependent stability conditions, we obtain delay-dependent sufficient conditions for the closed-loop system to be stable. Finally, we give a simple example that illustrates our result.
Keywords :
closed loop systems; delay systems; delays; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear control systems; robust control; Takagi-Sugeno fuzzy time-delay system; closed-loop system; delay-dependent stability; fuzzy controller; linear matrix inequality; Control system synthesis; Control systems; Delay systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Stability; State feedback; Takagi-Sugeno model;
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Print_ISBN :
0-7803-8643-4
DOI :
10.1109/ICCIS.2004.1460464