• DocumentCode
    2393358
  • Title

    MPC and PID control based on Multi-Objective Optimization

  • Author

    Gambier, Adrian

  • Author_Institution
    Autom. Lab., Heidelberg Univ., Mannheim
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    4727
  • Lastpage
    4732
  • Abstract
    The design of sophisticated control systems have led in the past ten years to the necessity of satisfying more than one design criterion. Thus, it is natural to think that those criteria can be met in an optimal manner. If several criteria have simultaneously to be optimized, one is in presence of a multi-objective optimization problem. In this paper, many efforts to design the most popular control strategies, i.e. PID and MPC, by using multi-objective optimization techniques are reviewed. Both control strategies have dissimilar optimization characteristics and therefore, they can be considered as representative of two different multi-objective optimization problems, which are described including definitions, possible solutions, algorithms and available software implementations.
  • Keywords
    control system synthesis; optimisation; predictive control; three-term control; PID control; model predictive control; multi-objective optimization; sophisticated control system design; Algorithm design and analysis; Books; Constraint optimization; Control engineering; Control systems; Optimal control; Performance analysis; Pi control; Software algorithms; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4587241
  • Filename
    4587241