Title :
System identification and control: A fruitful cooperation over half a century, and more
Author :
Bittanti, Sergio ; Garatti, Simone
Author_Institution :
Dipt. di Elettron. ed Inf., Politec. di Milano, Milan, Italy
Abstract :
Control science is basically a model based discipline. The performance of control is determined by the accuracy of the model representing data. Therefore the successes of identification reflects into the successes of control. This is why identification and control have had a never-ending interplay over so many decades. In this paper we try to outline such interplay by making reference to one of the main problems encountered in control engineering modeling: the estimation of unknown or uncertain parameters in the plant equations.
Keywords :
control engineering; control theory; parameter estimation; control engineering modeling; control science; model accuracy; plant equations; system control; system identification; uncertain parameter estimation; unknown parameter estimation; Equations; Estimation; Induction motors; Kalman filters; Mathematical model; Parameter estimation; Temperature measurement; Identification for Control; Parameter Estimation; System Identification;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3