• DocumentCode
    3713512
  • Title

    A computationally advantageous reparameterisation of a robust model predictive control scheme

  • Author

    Amir R. Neshastehriz;Michael Cantoni;Iman Shames

  • Author_Institution
    Department of Electrical and Electronic Engineering, University of Melbourne, Parkville VIC 3010, Australia
  • fYear
    2014
  • Firstpage
    257
  • Lastpage
    260
  • Abstract
    In this paper, a two step reparameterisation is proposed to reduce the computational cost of an online constraint tightening model predictive control (MPC) scheme for control of linear systems subject to time-varying state constraints and a bounded disturbance. The method is an exact reparameterisation based on well-established linear algebra techniques and does not cause degradation in the performance when compared to the original problem. Applying the reparameterisation, a smaller problem is to be solved at each step which yields computational benefits as demonstrated via a numerical example.
  • Keywords
    "Optimization","Robustness","Uncertainty","Predictive control","Trajectory","Computational complexity","Australia"
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (AUCC), 2014 4th Australian
  • Type

    conf

  • DOI
    10.1109/AUCC.2014.7358679
  • Filename
    7358679