DocumentCode
1716674
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
Volume
2
fYear
2001
Firstpage
1004
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1009130
Filename
1009130
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