• DocumentCode
    2573834
  • Title

    Invariant set computation for constrained uncertain discrete-time linear systems

  • Author

    Athanasopoulos, Nikolaos ; Bitsoris, George

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Patras, Rio, Greece
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    5227
  • Lastpage
    5232
  • Abstract
    In this article a novel approach to the determination of polytopic invariant sets for constrained discrete-time linear uncertain systems is presented. First, the problem of stabilizing a prespecified initial condition set in the presence of input and state constraints is addressed. Second, the problem of computing an estimate of the maximal positively invariant or controlled invariant set for this class of systems is investigated. An illustrative example, showing the effectiveness of the proposed methods, is presented.
  • Keywords
    discrete time systems; linear systems; predictive control; set theory; uncertain systems; constrained uncertain discrete time linear system; controlled invariant set computation; input constraint; polytopic invariant set; positively invariant set; state constraint; Approximation algorithms; Approximation methods; Linear systems; Optimization; State feedback; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717500
  • Filename
    5717500