DocumentCode
3175094
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
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
5434
Lastpage
5441
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426601
Filename
6426601
Link To Document