Title :
Stochastic finite-time stabilization of a class of stochastic T-S fuzzy system with the Ito´s-type
Author :
Xing Shuangyun ; Zhu Baoyan ; Zhang Qingling
Author_Institution :
Coll. of Sci., Shenyang Jianzhu Univ., Shenyang, China
Abstract :
In this paper, the problem of stochastic finite-time stability and stabilization of a class of stochastic T-S fuzzy systems with Ito´s -type is studied. Firstly, a new finite-time stability concept for stochastic T-S fuzzy systems which is defined as finite-time stochastic stability is introduced. Secondly, a sufficient condition of stochastic finite-time stability is obtained for the family of stochastic T-S fuzzy systems. In the sequence, Designed state feedback controller is provided to guarantee that the underlying closed-loop system is stochastic finite-time stability in terms of strict linear matrix equalities with a fixed parameter. A sufficient condition of stochastic finite-time stabilization is given as well. Finally, two illustrative examples are presented to show the validity of the developed methodology.
Keywords :
closed loop systems; control system synthesis; fuzzy control; linear matrix inequalities; stability; state feedback; stochastic systems; Ito-type system; Takagi-Sugeno fuzzy system; closed-loop system; finite-time stability concept; fixed parameter; state feedback controller design; stochastic T-S fuzzy system; stochastic finite-time stabilization; strict linear matrix equalities; sufficient condition; Asymptotic stability; Fuzzy systems; Linear matrix inequalities; Stability analysis; State feedback; Stochastic processes; Symmetric matrices; T-S fuzzy systems; finite-time stability; linear matrix inequalities (LMIs); stochastic system;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an