Title :
Fuzzy nonlinear adaptive internal model control (FNAIMC) part II: Fuzzy model inversion
Author :
Boukezzoula, R. ; Galichet, S. ; Foulloy, L.
Author_Institution :
Lab. d´Autom. et Micro-Inf. Ind. (LAMII), Annecy, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
This two part paper describes a new approach to directly design a fuzzy controller from a fuzzy model of the process. As an Internal Model Control structure is adopted, the control design is viewed as a model inversion problem. The main contribution of this second part is then to provide a solution to the rulebase inversion. The exactness of the proposed inversion procedure is mathematically guaranteed. Simulation results are given for a nonlinear control problem.
Keywords :
adaptive control; fuzzy control; nonlinear control systems; fuzzy model inversion problem; fuzzy nonlinear adaptive internal model control; nonlinear control problem; Adaptation models; Fuzzy systems; Mathematical model; Numerical models; Pragmatics; Takagi-Sugeno model; Trajectory; Fuzzy Inversion; Nonlinear Internal Model Control;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5