Dimension and coverage of multiple-models structures using clustering techniques

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

Dimension and coverage of multiple-models structures using clustering techniques

P.M. Silva, V.M. Becerra, J.M.F. Calado, I. Khoo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	27th IASTED International Conference on Modelling, Identification and Control
Publisher	ACTA Press
Publication status	Published - 2008

Keywords

clustering techniques, multiple-models, non-parametric identification, structural identification

Cite this

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title = "Dimension and coverage of multiple-models structures using clustering techniques",

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.",

keywords = "clustering techniques, multiple-models, non-parametric identification, structural identification",

author = "P.M. Silva and V.M. Becerra and J.M.F. Calado and I. Khoo",

year = "2008",

language = "English",

booktitle = "27th IASTED International Conference on Modelling, Identification and Control",

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T1 - Dimension and coverage of multiple-models structures using clustering techniques

AU - Silva, P.M.

AU - Becerra, V.M.

AU - Calado, J.M.F.

AU - Khoo, I.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - clustering techniques, multiple-models, non-parametric identification, structural identification

M3 - Conference contribution

BT - 27th IASTED International Conference on Modelling, Identification and Control

PB - ACTA Press

ER -

Dimension and coverage of multiple-models structures using clustering techniques

Abstract

Keywords

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