Clustering techniques applied to multiple-models structures

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

Clustering techniques applied to multiple-models structures

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

Research output: Contribution to conference › Paper › peer-review

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
Publication status	Published - 2009
Event	7th workshop on advanced control and diagnosis (ACD 2009) - Zielona Góra, Poland Duration: 19 Nov 2009 → 20 Nov 2009

Workshop

Workshop	7th workshop on advanced control and diagnosis (ACD 2009)
Country/Territory	Poland
City	Zielona Góra
Period	19/11/09 → 20/11/09

Keywords

Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models

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http://centaur.reading.ac.uk/14862/

Cite this

@conference{1e6ed2a208db4cb49cd321622e895a5c,

title = "Clustering techniques applied to multiple-models structures",

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 = "Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models",

author = "Silva, {P. M.} and Becerra, {V. M.} and Calado, {J. M. F.}",

year = "2009",

language = "English",

note = "7th workshop on advanced control and diagnosis (ACD 2009) ; Conference date: 19-11-2009 Through 20-11-2009",

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TY - CONF

T1 - Clustering techniques applied to multiple-models structures

AU - Silva, P. M.

AU - Becerra, V. M.

AU - Calado, J. M. F.

PY - 2009

Y1 - 2009

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 - Pattern Identification, Identification, Pattern Recognition, Fault Identification, Process Models

M3 - Paper

T2 - 7th workshop on advanced control and diagnosis (ACD 2009)

Y2 - 19 November 2009 through 20 November 2009

ER -

Clustering techniques applied to multiple-models structures

Abstract

Workshop

Keywords

Access to Document

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Cite this