Identification of a Class of Non-linear State Space Models using RPE Techniques

Wei-Wu Zhou, Mogens Blanke

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    Abstract

    The RPE (recursive prediction error) method in state-space form is developed in the nonlinear systems and extended to include the exact form of a nonlinearity, thus enabling structure preservation for certain classes of nonlinear systems. Both the discrete and the continuous-discrete versions of the algorithm in an innovations model are investigated, and a nonlinear simulation example shows a quite convincing performance of the filter as combined parameter and state estimator
    Original languageEnglish
    JournalI E E E Transactions on Automatic Control
    Volume34
    Issue number3
    Pages (from-to)312-316
    ISSN0018-9286
    DOIs
    Publication statusPublished - 1989

    Bibliographical note

    Copyright: 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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