A Practical Linear Identification Method Based on Geometric Representation of Time Invariant Continuous Systems

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we propose a geometric point of view for linear time invariant continuous systems and the method of identification based on this point of view. We also discuss the influence of observation noise on the evaluation of the system in our method based on the set membership approach. Then we demonstrate the proposed method of identification in experiment for a DC motor system.

    Original languageEnglish
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    Pages1126-1131
    Number of pages6
    Volume1
    DOIs
    Publication statusPublished - 2003
    Event42nd IEEE Conference on Decision and Control - Maui, HI
    Duration: 2003 Dec 92003 Dec 12

    Other

    Other42nd IEEE Conference on Decision and Control
    CityMaui, HI
    Period03/12/903/12/12

    Fingerprint

    Continuous time systems
    DC motors
    Identification (control systems)
    Experiments

    Keywords

    • Fourier series
    • Geometric representation
    • Linear time invariant continuous system
    • Parametric identification

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Safety, Risk, Reliability and Quality
    • Chemical Health and Safety

    Cite this

    A Practical Linear Identification Method Based on Geometric Representation of Time Invariant Continuous Systems. / Watanabe, Ryo; Uchida, Kenko.

    Proceedings of the IEEE Conference on Decision and Control. Vol. 1 2003. p. 1126-1131.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Watanabe, R & Uchida, K 2003, A Practical Linear Identification Method Based on Geometric Representation of Time Invariant Continuous Systems. in Proceedings of the IEEE Conference on Decision and Control. vol. 1, pp. 1126-1131, 42nd IEEE Conference on Decision and Control, Maui, HI, 03/12/9. https://doi.org/10.1109/CDC.2003.1272719
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