Title :
Sample-data stabilization of fuzzy systems with input delay
Author_Institution :
Aoyama Gakuin Univ., Sagamihara
Abstract :
This paper is concerned with sampled-data stabilization for fuzzy systems. A new approach to sampled-data control is introduced. The system is modelled as a continuous-time fuzzy system, while the control input has a piecewise-conthmous delay. Sufficient stability conditions for the closed-loop system with a sampled- data state feedback controller are given in terms of linear matrix inequalities(LMls). We derive such stability conditions via descriptor approach to fuzzy time-delay systems under the assumption that sampling-time is not greater than some prescribed number. As such a prescribed number goes to zero, our stability conditions coincide with sufficient stability conditions for continuous- time state feedback stabilization for fuzzy systems. We also propose a design method of sampled-data state feedback controller for fuzzy systems. A numerical example is given to illustrate our sampled-data state feedback control.
Keywords :
closed loop systems; continuous time systems; control system synthesis; delay systems; fuzzy control; fuzzy systems; linear matrix inequalities; sampled data systems; stability; state feedback; LMl; closed-loop system; continuous-time fuzzy systems; descriptor approach; fuzzy time-delay systems; input delay; linear matrix inequalities; sample-data stabilization; sampled-data state feedback controller design; stability conditions; Delay systems; Fuzzy systems; Takagi-Sugeno fuzzy systems; delay-dependent conditions; linear matrix inequality; sampled-data control; time-delay systems;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4413741