• DocumentCode
    114576
  • Title

    M-MRAC with normalization

  • Author

    Stepanyan, Vahram ; Krishnakumar, Kalmanje

  • Author_Institution
    Univ. Affiliated Res. Center, Univ. of California Santa Cruz, Moffett Field, CA, USA
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    1289
  • Lastpage
    1294
  • Abstract
    This paper presents a normalization based modified reference model adaptive control method for multi-input multi-output (MIMO) uncertain systems in the presence of bounded external disturbances. It has been shown that desired tracking performance can be achieved for the system´s output and input signals with the proper choice of design parameters. The resulting adaptive control signal satisfies a second order linear time invariant (LTI) system, which is the effect of the normalization term in the adaptive laws. This LTI system provides the guideline for the design parameter selection. The theoretical findings are confirmed via a simulation example.
  • Keywords
    MIMO systems; control system synthesis; linear systems; model reference adaptive control systems; uncertain systems; LTI system; M-MRAC; MIMO uncertain systems; design parameter selection; multiinput multioutput uncertain systems; normalization based modified reference model adaptive control; normalization term; second order linear time invariant system; Adaptation models; Adaptive control; Equations; Mathematical model; Predictive models; 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.2014.7039559
  • Filename
    7039559