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Clustering techniques applied to multiple-models structures

Silva, P.M., Becerra, V.M. and Calado, J.M.F. (2009) Clustering techniques applied to multiple-models structures. In: 7th workshop on advanced control and diagnosis, Zielona Gora, Poland.

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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.

Item Type:Conference or Workshop Item (Paper)
ID Code:14862
Uncontrolled Keywords:Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models

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