• DocumentCode
    2173850
  • Title

    Multiple-model adaptive estimators: Open problems and future directions

  • Author

    Aguiar, A. Pedro

  • Author_Institution
    ISR/IST Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    5544
  • Lastpage
    5545
  • Abstract
    Over the past decades there have been a considerable research effort on the subject of adaptive observers. In simple terms, an adaptive observer or estimator can be defined as a process that provides in real time the estimate of the state (or some function of it) of the plant from partial and possibly noise measurements of the inputs and outputs, inexact knowledge of the initial condition and in the presence of unknown parameters in the description of the plant. In many cases, adaptive observers also identifies the unknown parameters.
  • Keywords
    adaptive estimation; noise measurement; observers; adaptive observer; multiple-model adaptive estimators; noise measurements; state estimation; unknown parameters; Adaptation models; Adaptive control; Kalman filters; Observers; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7069028