• DocumentCode
    1743860
  • Title

    A state-space algorithm for the simultaneous optimisation of performance weights and controllers in μ-synthesis

  • Author

    Lanzon, Alexander ; Cantoni, Michael

  • Author_Institution
    Dept. of Eng., Cambridge Univ., UK
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    611
  • Abstract
    A conceptually new approach to the μ-synthesis robust performance problem is proposed. Performance weights, maximised with respect to a suitable cost function that captures the desired closed-loop performance, are synthesised simultaneously with an internally stabilising controller to immediately achieve robust performance. The designer is only required to specify the plant set and an optimisation directionality. This directionality only appears in the cost function and reflects the desired closed-loop properties in particular frequency regions. Correspondingly, this approach greatly simplifies the often long and tedious process of designing “good” performance weights directly
  • Keywords
    H control; closed loop systems; control system synthesis; iterative methods; linear systems; optimisation; robust control; state-space methods; uncertain systems; H control; closed-loop systems; iterative method; linear time invariant systems; mu-synthesis; optimisation; performance weight synthesis; robust control; state space method; Artificial intelligence; Constraint optimization; Cost function; Frequency; Matrix decomposition; Robust control; Robustness; Transfer functions; Uncertainty; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912833
  • Filename
    912833