Clustering techniques applied to multiple-models structures

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

    Research output: Contribution to conferencePaperpeer-review


    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
    Publication statusPublished - 2009
    Event7th workshop on advanced control and diagnosis (ACD 2009) - Zielona Góra, Poland
    Duration: 19 Nov 200920 Nov 2009


    Workshop7th workshop on advanced control and diagnosis (ACD 2009)
    CityZielona Góra


    • Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models


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