Title :
Nonlinear predictive control using fuzzy models and semidefinite programming
Author :
Espinosa, Jaino ; Vandewalle, Joos
Author_Institution :
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
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;
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
DOI :
10.1109/NAFIPS.1999.781677
