Title :
Asymptotic Accuracy of Iterative Feedback Tuning
Author :
Hildebrand, R. ; Lecchini, A. ; Solari, G. ; Gevers, M.
Author_Institution :
Lab. de Modelization et Calcul, Univ. Joseph Fourier, France
Abstract :
Iterative feedback tuning (IFT) is a widely used procedure for controller tuning. It is a sequence of iteratively performed special experiments on the plant interlaced with periods of data collection under normal operating conditions. In this note, we derive the asymptotic convergence rate of IFT for disturbance rejection, which is one of the main fields of application.
Keywords :
control system synthesis; convergence; feedback; iterative methods; asymptotic convergence rate; controller tuning; data collection; disturbance rejection; iterative feedback tuning; Control systems; Convergence; Cost function; Discrete time systems; Feedback; Iterative methods; Process control; Stochastic processes; System identification; Transfer functions; Identification for control; iterative feedback tuning (IFT); stochastic optimization;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2005.852551
