• DocumentCode
    1806177
  • Title

    Multi-objective optimal control: An introduction

  • Author

    Gambier, Adrian ; Jipp, Meike

  • Author_Institution
    Autom. Lab., Heidelberg Univ., Mannheim, Germany
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    1084
  • Lastpage
    1089
  • Abstract
    Optimization techniques have been a crucial tool for designing control systems and for tuning controllers for a very long time. However, the increasing requirements of quality for new products and consequently the natural needs of more advanced control systems have led to the introduction of several coupled performance indices. These cost functions have to be fulfilled simultaneously, which in turn involves sophisticated techniques for Multi-Objective Optimization (MOO). Thus, many control problems can be solve by using MOO techniques. These design techniques are collected together in order to constitute the Multi-objective Optimal Control (MOOC) field. In the present paper, the field is introduced in general, describing several MOOC problems.
  • Keywords
    control system synthesis; optimal control; optimisation; control system design; controller tuning; multiobjective optimal control; multiobjective optimization; Eigenvalues and eigenfunctions; Games; Hafnium; Optimal control; Optimization; Polynomials; Multi-objective optimization; control algorithms; design methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ASCC), 2011 8th Asian
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-61284-487-9
  • Electronic_ISBN
    978-89-956056-4-6
  • Type

    conf

  • Filename
    5899223