Title :
Optimization of the prefilter in iterative feedback tuning for improved accuracy of the controller parameter update
Author :
Hildebrand, Roland ; Lecchini, A. ; Solari, G. ; Gevers, M.
Author_Institution :
Center for Oper. Res. & Econ., Univ. Catholique de Louvain, Belgium
Abstract :
Iterative feedback tuning (IFT) is a data-based method for the tuning of restricted complexity controllers. At each iteration, an update for the parameters of the controller is estimated from data obtained partly from the normal operation of the closed loop system and partly from a special experiment. The choice of a prefilter for the input data to the special experiment is a degree of freedom of the method. In the present contribution, the prefilter is designed in order to enhance the accuracy of the IFT update.
Keywords :
closed loop systems; covariance matrices; feedback; optimisation; parameter estimation; tuning; closed loop system; controller parameter; data based method; degree of freedom; iterative feedback tuning; parameter estimation; prefilter design; prefilter optimization; Control systems; Convergence; Cost function; Covariance matrix; Feedback; Iterative methods; Operations research; Optimization methods; Shape; Systems engineering and theory;
Conference_Titel :
Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
Print_ISBN :
0-7803-7924-1
DOI :
10.1109/CDC.2003.1272214
