Linear switching system identification applied to blast furnace data

Amir Shirdel, Kaj-Mikael Björk, Markus Holopainen, Christer Carlsson, Hannu Toivonen

    Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

    1 Sitaatiot (Scopus)

    Abstrakti

    Switching systems are dynamical systems which can switch between a number of modes characterized by different dynamical behaviors. Several approaches have recently been presented for experimental identification of switching system, whereas studies on real-world applications have been scarce. This paper is focused on applying switching system identification to a blast furnace process. Specifically, the possibility of replacing nonlinear complex system models with a number of simple linear models is investigated. Identification of switching systems consists of identifying both the individual dynamical behavior of model which describes the system in the various modes, as well as the time instants when the mode changes have occurred. In this contribution a switching system identification method based on sparse optimization is used to construct linear switching dynamic models to describe the nonlinear system. The results obtained for blast furnace data are compared with a nonlinear model using Artificial Neural Fuzzy Inference System (ANFIS). 
    AlkuperäiskieliEi tiedossa
    Otsikko11th International Conference on Informatics in Control, Automation and Robotics
    ToimittajatJoaquim Filipe, Oleg Yu. Gusikhin, Kurosh Madani, Jurek Z. Sasiadek
    KustantajaIEEE Computer Society Institute of Electrical and Electronic Engineers
    Sivut643–648
    ISBN (painettu)978-989-758-039-0
    DOI - pysyväislinkit
    TilaJulkaistu - 2014
    OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
    Tapahtumaconference; 2014-09-01; 2014-09-03 - Vienna, Austria
    Kesto: 1 syyskuuta 20143 syyskuuta 2014

    Konferenssi

    Konferenssiconference; 2014-09-01; 2014-09-03
    Ajanjakso01/09/1403/09/14

    Keywords

    • Blast Furnace
    • Linear Switching System
    • Sparse Optimization
    • System Identification

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