DocumentCode :
3666821
Title :
Finite-time H fuzzy control for Markovian Jump stochastic systems
Author :
Aiqing Zhang
Author_Institution :
School of Mathematics and Computer Science, Jianghan University, Wuhan China
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1362
Lastpage :
1367
Abstract :
This paper deals with the problems of finite-time stochastic stabilization and finite-time H control for Markovian Jump stochastic systems via a fuzzy-control approach. The Takagi-Sugeno (T-S) fuzzy model is employed to represent a nonlinear stochastic system with Markovian jump parameters. The purpose of the finite-time stochastic stabilization problem is to design a state feedback fuzzy controller such that the closed-loop fuzzy system is finite-time stochastic stable. In the H control problem, in addition to the finite-time stochastic stability requirement, a prescribed performance is required to be achieved. Linear matrix inequalities (LMIs) sufficient conditions are developed to solve these problems, respectively. The expressions of desired state feedback fuzzy controllers are given.
Keywords :
"Stochastic systems","Stochastic processes","Symmetric matrices","Asymptotic stability","Stability analysis","Linear matrix inequalities","Sufficient conditions"
Publisher :
ieee
Conference_Titel :
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN :
978-1-4799-8728-3
Type :
conf
DOI :
10.1109/CYBER.2015.7288142
Filename :
7288142
Link To Document :
بازگشت