Title :
Hybrid Predictive Control based on Fuzzy Model
Author :
Núnez, Alfredo ; Sáez, Doris ; Oblak, Simon ; Skrjanc, Igor
Author_Institution :
Univ. of Chile, Santiago
Abstract :
In the paper, the hybrid predictive control based on a fuzzy model is presented. The identification methodology for a nonlinear system with discrete state-space variables by combining fuzzy clustering and principal component analysis is proposed. The fuzzy model is used for hybrid predictive control design where the optimization problem is solved by the use of genetic algorithms. An illustrative experiment on a hybrid tank system is conducted to present the benefits of the proposed approach.
Keywords :
control system synthesis; discrete systems; fuzzy set theory; genetic algorithms; nonlinear control systems; predictive control; principal component analysis; state-space methods; discrete state-space variables; fuzzy clustering; fuzzy model; genetic algorithms; hybrid predictive control design; hybrid tank system; identification methodology; nonlinear system; principal component analysis; Clustering algorithms; Control design; Electrical equipment industry; Electronic mail; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Predictive control; Predictive models;
Conference_Titel :
Fuzzy Systems, 2006 IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9488-7
DOI :
10.1109/FUZZY.2006.1681970
