Dimension and coverage of multiple-models structures using clustering techniques

P.M. Silva, V.M. Becerra, J.M.F. Calado, I. Khoo

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


    In this work a method for building multiple-model structures is presented. A clustering algorithm that uses data from the system is employed to define the architecture of the multiple-model, including the size of the region covered by each model, and the number of models. A heating ventilation and air conditioning system is used as a testbed of the proposed method.
    Original languageEnglish
    Title of host publication27th IASTED International Conference on Modelling, Identification and Control
    PublisherACTA Press
    Publication statusPublished - 2008


    • clustering techniques, multiple-models, non-parametric identification, structural identification


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