Input design to maximize information for identification of MIMO systems

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    2 Sitaatiot (Scopus)

    Abstrakti

    A new input design method for identification of multiple-input multiple-output (MIMO) systems is introduced. The method is completely data based as opposed to previous model-based methods. The data are obtained from one or more experiments with the system to be identified. These experiments do not require any MIMO input design. The design objective is to generate maximally informative data when a new experiment based on MIMO input design is done. The data are considered to be maximally informative when the outputs have maximal variance, subject to some constraints, and no correlation. Since the input design, with given type of perturbation signal, is not unique, it is possible to optimize some additional property, such as minimization of input or output peak value. The various design options are illustrated by application to a system with three inputs and three outputs.

    AlkuperäiskieliEi tiedossa
    Otsikko2019 12th Asian control conference (ASCC)
    KustantajaIEEE
    Sivut1323–1328
    ISBN (elektroninen)978-4-88898-300-6
    ISBN (painettu)978-1-7281-0263-4
    TilaJulkaistu - 2019
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    TapahtumaAsian Control Conference - 12th Asian Control Conference (ASCC 2019)
    Kesto: 9 kesäkuuta 201912 kesäkuuta 2019

    Konferenssi

    KonferenssiAsian Control Conference
    Ajanjakso09/06/1912/06/19

    Keywords

    • data-based design
    • experiment design
    • ill-conditioned systems
    • multivariable systems
    • system identification

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