DocumentCode :
3583994
Title :
Model-based and data-driven model-reference control: A comparative analysis
Author :
Formentin, Simone ; van Heusden, Klaske ; Karimi, Alireza
Author_Institution :
Univ. of Bergamo, Bergamo, Italy
fYear :
2013
Firstpage :
1410
Lastpage :
1415
Abstract :
In the scientific literature, two main approaches have been proposed for control system design from data. In the “model-based” approach, a model of the system is first derived from data and then a controller is computed based on the model. In the “data-driven” approach, the controller is directly computed from data. In this work, the above approaches are compared from a novel perspective. The main finding of the paper is that, although from the standard perspective of parameter variance analysis the model-based approach is always statistically more efficient, the data-driven controller might outperform the model-based solution for what concerns the final control cost.
Keywords :
control system synthesis; control system design; data-driven approach; data-driven model-reference control; model-based approach; model-based model-reference control; parameter variance analysis; Analytical models; Approximation methods; Computational modeling; Data models; Finite impulse response filters; Maximum likelihood estimation; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Type :
conf
Filename :
6669388
Link To Document :
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