• 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