Estimation of model error for nonlinear system identification

Raol, JR and Parameswaran, V (1994) Estimation of model error for nonlinear system identification. [Conference Proceedings]

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    Abstract

    Algorithms are presented for estimation of deterministic model error in the assumed models of nonlinear discrete and continuous time systems.The explicit model error time histories are parameterized using least squares method. The parameterised models relative to the true model explain the deterministic deficiency in the chosen models, in the sense of minimum model error. The algorithms have appealing features of extended Kalman filter. The numerical simulation results are obtained by implementing the algorithms in PC MATLAB

    Item Type: Conference Proceedings
    Additional Information: Copyright for this paper belongs to IEE
    Uncontrolled Keywords: Algorithms;Model error;Nonlinear system identification
    Subjects: MATHEMATICAL AND COMPUTER SCIENCES > Mathematical and Computer Scienes(General)
    Division/Department: Flight Mechanics and Control Division, Flight Mechanics and Control Division
    Depositing User: M/S ICAST NAL
    Date Deposited: 28 Jan 2008
    Last Modified: 17 Jun 2010 10:08
    URI: http://nal-ir.nal.res.in/id/eprint/4534

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