• DocumentCode
    3522990
  • Title

    Robust exponential stabilization of a certain class of switched systems

  • Author

    Mancilla-Aguilar, Jose Luis ; Garcia, Rafael A.

  • Author_Institution
    Centro de Sist. y Control, Inst. Tecnol. de Buenos Aires, Buenos Aires, Argentina
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    698
  • Lastpage
    703
  • Abstract
    In this paper we consider continuous-time switched systems whose subsystems are linear, or, more generally, homogeneous of degree one. For that class of systems, we present a control algorithm that under certain conditions generates switching signals that globally exponentially stabilizes the switched system, even in the case in which there are model uncertainties and/or measurement errors, provided that the bounds of that uncertainties and errors depend linearly on the norm of the state of the system and are small enough in a suitable sense. We also show that in the case in which the measurement errors and the model uncertainties are bounded, the algorithm globally exponentially stabilizes the system in a practical sense, with a final error which depends linearly on the bounds of both the model uncertainties and the measurement errors. Finally, we illustrate the behaviour of the algorithm by means of simulations.
  • Keywords
    asymptotic stability; continuous time systems; linear systems; measurement errors; robust control; time-varying systems; uncertain systems; continuous-time switched systems; control algorithm; global exponential stability; linear subsystems; measurement errors; model uncertainties; robust exponential stabilization; switching signals; uncertainty bounds; Measurement errors; Robustness; Switched systems; Switches; Trajectory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6759963
  • Filename
    6759963