Dimension and Coverage of Multiple-Models Structures using Clustering Techniques

P.M. Silva (Portugal), V.M. Becerra (UK), J.M.F.Calado (Portugal), and I. Khoo (UK)

Keywords

MultipleModels, Structural Identification, Non Parametric Identification, Clustering Techniques.

Abstract

In this work a method for building multiple-model struc tures 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 cov ered 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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