Dimension and coverage of multiple-models structures using clustering techniquesSilva, P.M. , Becerra, V.M. , Calado, J.M.F. and Khoo, I. (2008) Dimension and coverage of multiple-models structures using clustering techniques. In: 27th IASTED International Conference on Modelling, Identification and Control , Innsbruck, Austria. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Abstract/SummaryIn 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.
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