DocumentCode :
3227665
Title :
Analysis and synthesis of fuzzy stochastic systems via LMI approach
Author :
Huaping, Liu ; Kezhong, He ; Fuchun, Sun ; Zengqi, Sun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Volume :
3
fYear :
2002
fDate :
28-31 Oct. 2002
Firstpage :
1700
Abstract :
This paper studied a general class of nonlinear stochastic systems, which can be approximated by T-S fuzzy model. The problem both the control and the state entering into the diffusion term is discussed here. A PDC state feedback controller is proposed to guarantee the mean-square stability of the closed-loop system. All the results are represented by the linear matrix inequalities.
Keywords :
control system analysis; control system synthesis; fuzzy systems; linear matrix inequalities; nonlinear systems; stability; stochastic systems; T-S fuzzy model; closed-loop system; linear matrix inequalities; nonlinear stochastic systems; stability analysis; stochastic systems; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Intelligent robots; Linear matrix inequalities; Robotics and automation; Stability; Stochastic systems; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
Type :
conf
DOI :
10.1109/TENCON.2002.1182661
Filename :
1182661
Link To Document :
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