• DocumentCode
    1464891
  • Title

    Brief Paper Using subset sequence to approach the maximal terminal region for model predictive control

  • Author

    Wang, Yannan ; Zhang, Ye ; Sun, Felice ; Liu, Hongying ; Min, Hwang-Ki

  • Author_Institution
    Dept. of Control Eng., Naval Aeronaut. Eng. Univ., Yantai, China
  • Volume
    6
  • Issue
    4
  • fYear
    2012
  • Firstpage
    596
  • Lastpage
    604
  • Abstract
    For the sake of enlarging the domain of attraction of model predictive control (MPC), a novel method of computing a large terminal region was proposed. Given the terminal cost, a subset sequence of the maximal terminal region was constructed by employing one-step set expansion iteratively. It was proved that, when the iteration time goes to infinity, this subsets sequence will converge to the maximal terminal region. Each subset in the sequence was extracted from the state space by exploiting support vector machine classifier.
  • Keywords
    iterative methods; pattern classification; predictive control; set theory; state-space methods; support vector machines; MPC; iteration time; maximal terminal region; model predictive control; one-step set expansion; state space; subset sequence; support vector machine classifier; terminal cost;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2010.0301
  • Filename
    6165481