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.
Abstract/Summary
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) |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/14862 |
| Divisions | Science |
| Uncontrolled Keywords | Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models |
| Download/View statistics | View download statistics for this item |
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