DocumentCode
3025137
Title
Nonlinear predictive control using fuzzy models and semidefinite programming
Author
Espinosa, Jaino ; Vandewalle, Joos
Author_Institution
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
fYear
1999
fDate
36342
Firstpage
174
Lastpage
178
Abstract
The paper presents the first steps towards a theory to build robust nonlinear predictive control based on fuzzy models. The main idea behind this theory is to write the predictive control problem as a robust optimization problem and apply semidefinite programming to solve the optimization in an efficient way. The information about the plant behavior and its uncertainties is provided by the fuzzy model
Keywords
fuzzy control; nonlinear control systems; optimal control; predictive control; quadratic programming; robust control; fuzzy models; nonlinear predictive control; plant behavior; robust control; robust optimization problem; semidefinite programming; uncertainty; Binary decision diagrams; Cost function; Fuzzy control; Fuzzy systems; Predictive control; Predictive models; Quadratic programming; Robust control; Robustness; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American
Conference_Location
New York, NY
Print_ISBN
0-7803-5211-4
Type
conf
DOI
10.1109/NAFIPS.1999.781677
Filename
781677
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