• DocumentCode
    3427240
  • Title

    Performance analysis of asynchronous model predictive control laws

  • Author

    Gondhalekar, Ravi

  • Author_Institution
    Dept. of Mech. Eng., Osaka Univ., Suita, Japan
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    1233
  • Lastpage
    1238
  • Abstract
    Performance analysis of model predictive control (MPC) laws for constrained linear periodic systems with asynchronous timing constraints on input channels is considered. The problem boils down to performance analysis of autonomous periodic piecewise affine (PWA) systems of time-dependent state dimension. A periodic reverse reachability algorithm that constructs the explicit periodic piecewise quadratic (PWQ) running cost function over the region(s) of attraction of the origin is described. Available explicitly, the running cost function enables exact and rapid performance evaluation of the system as a whole, and facilitates the strategic optimization of an asynchronous controller´s initial condition, while circumnavigating the need to perform a large number of simulations.
  • Keywords
    control system synthesis; discrete time systems; linear systems; optimisation; predictive control; reachability analysis; PWA system; PWQ running cost function; asynchronous model predictive control law; asynchronous timing constraint; autonomous periodic piecewise affine system; constrained linear periodic system; explicit periodic piecewise quadratic; input channel; performance analysis; periodic reverse reachability algorithm; strategic optimization; time-dependent state dimension; Algorithm design and analysis; Cost function; Partitioning algorithms; Performance analysis; Prediction algorithms; Timing; Trajectory; Asynchronous control; Model predictive control; Performance analysis; Periodic control; Periodic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6160499
  • Filename
    6160499