DocumentCode
3400063
Title
Fuzzy Functional Observers for Dynamic TSK Systems
Author
Fadali, M. Sami
Author_Institution
Dept. of Electr. Eng., Nevada Univ., Reno, NV
fYear
2005
fDate
25-25 May 2005
Firstpage
389
Lastpage
394
Abstract
Several approaches have appeared in the literature for the design of controller/observer combinations for Takagi-Sugeno-Kang (TSK) systems. These approaches did not exploit the fact that lower order systems can be obtained for estimating the control from output measurements. We propose a new approach for the feedback stabilization of TSK system using an observer of the control vector. We obtain stability conditions for the new observer/controller and show that it can provide a more efficient solution than the results published earlier. We demonstrate our results through a numerical example where the order of the observers with the functional observers if half that of the reduced order observers
Keywords
Lyapunov methods; control system synthesis; feedback; fuzzy control; fuzzy set theory; fuzzy systems; observers; reduced order systems; stability; Takagi-Sugeno-Kang systems; control system synthesis; dynamic TSK systems; feedback stabilization; fuzzy control; fuzzy functional observers; stability conditions; Control systems; Fuzzy control; Fuzzy systems; Linear systems; Nonlinear control systems; Nonlinear systems; Observers; Scheduling; Stability; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location
Reno, NV
Print_ISBN
0-7803-9159-4
Type
conf
DOI
10.1109/FUZZY.2005.1452425
Filename
1452425
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