Identification of Linear Switching System with Unknown Dimensions

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    2 Sitaatiot (Scopus)


    Switching systems have the property that their dynamical behavior may switch between a number of different modes. Identification of switching systems consists of identifying both the individual models which describe the system in the various modes, as well as the time instants when the mode changes have occurred. This soft computing problem therefore consists of numerically demanding coupled parameter identification and clustering problem. In this contribution a method based on sparse optimization techniques is proposed for identification of switching systems. In the two proposed methods, the modes and the associated models are determined one by one by solving linear problems which are sparse with respect to the number of violated epsilon-insensitive constraints and also solving by extending the models with an alternative LP-formulation of the optimization problem. The performance of the identification procedure is demonstrated by simulated examples.
    AlkuperäiskieliEi tiedossa
    Otsikko47th Hawaii International Conference on System Sciences (HICSS)
    KustantajaIEEE computer society press
    ISBN (elektroninen)978-1-4799-2504-9
    ISBN (painettu)978-1-4799-2505-6
    DOI - pysyväislinkit
    TilaJulkaistu - 2014
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    Tapahtumaconference; 2014-01-06; 2014-01-09 - Waikoloa, HI
    Kesto: 6 tammikuuta 20149 tammikuuta 2014


    Konferenssiconference; 2014-01-06; 2014-01-09


    • linear systems
    • optimisation
    • time-varying systems