Title :
Fuzzy Functional Observers for Dynamic TSK Systems
Author_Institution :
Dept. of Electr. Eng., Nevada Univ., Reno, NV
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;
Conference_Titel :
Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on
Conference_Location :
Reno, NV
Print_ISBN :
0-7803-9159-4
DOI :
10.1109/FUZZY.2005.1452425