• DocumentCode
    3521186
  • Title

    On switched MPC of a class of switched linear systems with modal dwell time

  • Author

    Lixian Zhang ; Braatz, Richard

  • Author_Institution
    Sch. of Astronaut., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    91
  • Lastpage
    96
  • Abstract
    This article investigates the model predictive control (MPC) of a class of discrete-time switched linear systems with modal dwell time (MDT). In contrast with existing hybrid MPC theories, where the state-dependent switching can capture the mode variations during the prediction horizon, this article considers switching instants to be unknown a priori. The prediction model is limited to be the currently activated subsystem, which facilitates the MPC design associated individually to each subsystem. Consequently, by the invariance of the reachable sets of the feasible region of each subsystem, the minimal admissible MDT is determined so as to guarantee both the persistent feasibility of MPC design and system stability. The conservatism of ignoring the position of the states at the switching instants is further reduced by allowing for the minimal admissible MDT to be state-dependent. It is shown that the system stability is guaranteed as long as the persistent feasibility is ensured both within the subsystems and at the switching instants. Finally, when the MDT is given, an algorithm is developed for determining the feasible region for the switched systems.
  • Keywords
    control system synthesis; linear systems; predictive control; stability; time-varying systems; discrete-time switched linear systems; hybrid MPC theories; minimal admissible MDT; modal dwell time; mode variations; model predictive control; prediction horizon; state-dependent switching; switched MPC design; system stability; Asymptotic stability; Optimization; Stability analysis; Switched systems; Switches; Trajectory;
  • 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.2013.6759864
  • Filename
    6759864