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
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