• DocumentCode
    3315126
  • Title

    LPV approach to continuous and discrete nonlinear observer design

  • Author

    Ibrir, Salim

  • Author_Institution
    Univ. of Trinidad and Tobago, Trinidad and Tobago
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    8206
  • Lastpage
    8211
  • Abstract
    In this paper we propose a new systematic design of nonlinear observers for Lipschitz nonlinear systems subject to nonlinear outputs. The new design method is dedicated to both continuous-time and discrete-time nonlinear systems having Lipschitz nonlinear outputs. By the use of the global Lipschitz property, the nonlinear system is rewritten as a linear parameter varying system subject to a linear parameter varying output. Based upon this new representation a Luenberger-like observer is designed without any linearization of the dynamics of the system or the observer. Robustness with respect to noisy measurements is also considered in a LMI setting. The present contribution is an extension of the results given in a previous work of the author. We show that the existence of the observer gain is related to the solvability of a Linear Parameter Varying optimization problem and therefore, the requirement of linearization of the observation error is not needed even if the measured output is not linear. The novelty and the efficacy of the proposed design is approved by illustrative case studies.
  • Keywords
    continuous time systems; discrete time systems; nonlinear systems; observers; optimisation; LPV approach; Lipschitz nonlinear systems; Luenberger-like observer; continuous nonlinear observer design; continuous-time nonlinear system; discrete nonlinear observer design; discrete-time nonlinear system; linear parameter varying optimization problem; observer gain; Design methodology; Gain measurement; Kalman filters; Linear matrix inequalities; Linear systems; Measurement errors; Nonlinear dynamical systems; Nonlinear systems; Robustness; Time varying systems; Electrical systems; LPV systems; Linear Matrix Inequalities (LMIs); Nonlinear Output Systems; Nonlinear observers; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400733
  • Filename
    5400733