DocumentCode
3118274
Title
Estimation of the asympototic stability region of uncertain fuzzy systems with bounded controllers using variable structure system design approach
Author
Kung, Chung-Chun ; Chen, Ti-Hung ; Chang, Shuo-Chieh ; Chen, Chih-Chieh
Author_Institution
Dept. of Electr. Eng., Tatung Univ., Taipei, Taiwan
fYear
2011
fDate
27-30 June 2011
Firstpage
643
Lastpage
648
Abstract
In this paper, the problem of estimating the asymptotic stability region (ASR) of uncertain nonlinear systems is considered. Our approach is based on Takagi-Sugeno (T-S) fuzzy model and variable structure control (VSC) technique. To simplify the problem, we use a state transformation to reduce the system order of the T-S fuzzy systems. Then we design the sliding surface for the transformed system. By the Lyaponov stability theorem, the ASR can be estimated. A simulation example is presented to verify the effectiveness of the proposed scheme.
Keywords
Lyapunov methods; asymptotic stability; control system synthesis; fuzzy control; nonlinear control systems; uncertain systems; variable structure systems; Lyapunov stability theorem; T-S fuzzy model; T-S fuzzy system; Takagi-Sugeno fuzzy model; VSC technique; asympototic stability region; bounded controller; sliding surface; uncertain fuzzy system; uncertain nonlinear system; variable structure control; variable structure system design; Asymptotic stability; Fuzzy control; Mathematical model; Nonlinear systems; Speech recognition; Switches; Uncertainty; Takagi-Sugeno fuzzy model; asymptotic stability region; sliding mode controller; variable structure control;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location
Taipei
ISSN
1098-7584
Print_ISBN
978-1-4244-7315-1
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2011.6007403
Filename
6007403
Link To Document