• DocumentCode
    116301
  • Title

    Verifiable frequency-limited adaptive control performance based on linear matrix inequalities

  • Author

    Fravolini, Mario Luca ; Yucelen, Tansel ; Wagner, Daniel ; Albattat, Ali ; Valigi, Paolo

  • Author_Institution
    Dipt. di Ing., Univ. degli Studi di Perugia, Perugia, Italy
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    6641
  • Lastpage
    6646
  • Abstract
    Adaptive controllers are often criticized for the lack of clear and easy verification procedures that relate design parameters to time domain performance especially during transients. For this reason it is a challenge to rigorously certify existing adaptive control algorithms. To that end, we propose a validation framework where stability and performance requirements are formulated in terms of Linear Matrix Inequalities. This brings the advantage that adaptive controller design and verification can be analyzed and optimized via the solution of a convex optimization whose objective is to guarantee the evolution of the error components within an a-priori specified domain. This approach was cast to verify the performance of the recently introduced Frequency-limited adaptive control scheme. A detailed case study is presented to show the efficacy of the proposed verification architecture.
  • Keywords
    control system synthesis; convex programming; linear matrix inequalities; model reference adaptive control systems; stability; time-domain analysis; a-priori specified domain; convex optimization; design parameters; error components; linear matrix inequalities; stability; time domain performance; verifiable frequency limited adaptive controller design; verification architecture; Adaptive control; Frequency control; Lyapunov methods; Optimization; Stability analysis; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040431
  • Filename
    7040431