Title :
Design of a supervisory predictive controller based on fuzzy models
Author :
Saez, Doris ; Cipriano, Aldo
Author_Institution :
Electr. Eng. Dept., Pontificia Univ. Catolica de Chile, Santiago, Chile
Abstract :
In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation problem at the supervisory level. The proposed fuzzy predictive controllers are successfully applied to a benchmark problem.
Keywords :
control nonlinearities; control system analysis; control system synthesis; fuzzy control; modelling; optimal control; predictive control; benchmark problem; fuzzy models; fuzzy predictors; nonlinear process; optimisation problem solving; supervisory optimal control; supervisory predictive controller design; Adaptive algorithm; Control systems; Fuzzy control; MIMO; Optimal control; Prediction algorithms; Predictive control; Predictive models; Sampling methods; Stability analysis;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009130
