Dimension and coverage of multiple-models structures using clustering techniques

  • Authors:
  • P. M. Silva;V. M. Becerra;J. M. F. Calado;I. Khoo

  • Affiliations:
  • Instituto Superior de Engenharia de Lisboa, Lisboa, Portugal;The University of Reading, Reading, United Kingdom;IDMEC/ISEL, Lisboa, Portugal;The University of Reading, Reading, United Kingdom

  • Venue:
  • MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
  • Year:
  • 2008

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Abstract

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.