Clustering techniques applied to multiple-models structures
P. M. Silva, Victor M. Becerra, João M. F. Calado · CentAUR (University of Reading) · 2009
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.