Title :
Analysis of fuzzy T-S observers and controllers from the interpolation perspective
Author_Institution :
Lab. d´´Autom. des Arts et Metiers, Paris, France
Abstract :
Takagi-Sugeno (T-S) fuzzy observers and controllers, built for the plants represented by T-S models, are analyzed from the interpolation viewpoint. The notion of a fuzzy stability covering condition is defined extending the definition given in Rugh (1991) and Stilwell and Rugh (1999). Assuming slow variation of a so-called interpolating variable, sufficient conditions are given in order to generate a stable parameter-varying family of observers and controllers that estimate the states and, stabilize nonlinear plants
Keywords :
fuzzy control; interpolation; nonlinear control systems; observers; stability; Takagi-Sugeno fuzzy controllers; Takagi-Sugeno fuzzy observers; fuzzy stability covering condition; interpolating variable; nonlinear plants; sufficient conditions; Art; Dynamic scheduling; Eigenvalues and eigenfunctions; Fuzzy control; Fuzzy sets; Interpolation; Observers; Robust stability; State estimation; State feedback;
Conference_Titel :
Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6638-7
DOI :
10.1109/CDC.2000.912791
