Title :
A self-optimizing switching control scheme for uncertain ARMAX systems
Author_Institution :
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy prandini@elet.polimi.it
Abstract :
In this paper, we propose a switching control scheme for uncertain AutoRegressive Moving Average eXogenous (ARMAX) systems, which guarantees stability of the switched control system and self-optimality. The adopted switching control logic is based on the Extended Least Squares (ELS) parameter estimation procedure for controller selection and switching. An asymptotically vanishing dither noise is added to the control input so as to introduce appropriate excitation of the system dynamics for consistently estimating the system parameters.
Keywords :
Adaptive control; Autoregressive processes; Control systems; Cost function; Logic; Optimal control; Parameter estimation; Stability; Switches; Uncertainty;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582596