Title :
Adaptive predictive control system design with an adaptive output estimator
Author :
Mizumoto, Ikuro ; Fujimoto, Yasutaka
Author_Institution :
Dept. of Intell. Mech. Syst., Kumamoto Univ., Kumamoto, Japan
Abstract :
The predictive controls are one of the major control strategies in the process control. However, in general, an exact model of the controlled system is required in order to predict the system´s outputs accurately. In this paper, we propose an adaptive predictive control using an adaptive output estimator with a simple structure for uncertain controlled systems. In the proposed method, the stability of the obtained adaptive predictive control system will be confirmed by setting a novel input constraint, “almost strictly positive real (ASPR) constraint”.
Keywords :
adaptive control; control system synthesis; predictive control; stability; uncertain systems; adaptive output estimator; adaptive predictive control system design; almost strictly positive real constraint; input constraint; process control; stability; uncertain controlled systems; Adaptation models; Adaptive systems; Modeling; Output feedback; Predictive control; Predictive models;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426601