• DocumentCode
    784226
  • Title

    A Decomposition Algorithm for Feedback Min–Max Model Predictive Control

  • Author

    de La Peña, D. Muñoz ; Alamo, T. ; Bemporad, A. ; Camacho, E.F.

  • Author_Institution
    Departamento de Ingenieria de Sistemas y Automatica, Seville Univ.
  • Volume
    51
  • Issue
    10
  • fYear
    2006
  • Firstpage
    1688
  • Lastpage
    1692
  • Abstract
    An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linear systems with constraints is presented in this note. The algorithm is based on applying recursively a decomposition technique to solve the min-max problem via a sequence of low complexity linear programs. It is proved that the algorithm converges to the optimal solution in finite time. Simulation results are provided to compare the proposed algorithm with other approaches
  • Keywords
    discrete time systems; feedback; linear systems; predictive control; uncertain systems; decomposition algorithm; discrete time uncertain linear system; feedback min-max model predictive control; finite time system; Adaptive control; Automatic control; Control systems; Feedback; Nonlinear control systems; Predictive control; Predictive models; Process control; Programmable control; Robotics and automation; Optimization algorithms; predictive control for linear systems; uncertain systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2006.883062
  • Filename
    1707891
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=784226