Modeling random flocks through generalized factor analysis

G. Bottegal; Giorgio Picci

doi:10.23919/ECC.2013.6669370

Modeling random flocks through generalized factor analysis

G. Bottegal, Giorgio Picci

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

Samenvatting

In this paper, we study modeling and identification of stochastic systems by Generalized Factor Analysis models. Although this class of models was originally introduced for econometric purposes, we present some possible applications of engineering interest. In particular, we show that there is a natural connection between Generalized Factor Analysis models and multi-agents systems. The common factor component of the model has an interpretation as a flocking component of the system behavior

Originele taal-2	Engels
Titel	2013 European Control Conference (ECC)
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	2421-2426
Aantal pagina's	6
ISBN van elektronische versie	978-3-033-03962-9
DOI's	https://doi.org/10.23919/ECC.2013.6669370
Status	Gepubliceerd - 2013
Extern gepubliceerd	Ja
Evenement	12th European Control Conference, ECC 2013 - Zurich, Switzerland, Zürich, Zwitserland Duur: 17 jul. 2013 → 19 jul. 2013 Congresnummer: 12 http://www.ecc2013.ethz.ch/

Congres

Congres	12th European Control Conference, ECC 2013
Verkorte titel	ECC 2013
Land/Regio	Zwitserland
Stad	Zürich
Periode	17/07/13 → 19/07/13
Internet adres	http://www.ecc2013.ethz.ch/

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10.23919/ECC.2013.6669370

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@inproceedings{f2db31e061964ff8ac77477b3e2b67bf,

title = "Modeling random flocks through generalized factor analysis",

abstract = "In this paper, we study modeling and identification of stochastic systems by Generalized Factor Analysis models. Although this class of models was originally introduced for econometric purposes, we present some possible applications of engineering interest. In particular, we show that there is a natural connection between Generalized Factor Analysis models and multi-agents systems. The common factor component of the model has an interpretation as a flocking component of the system behavior",

author = "G. Bottegal and Giorgio Picci",

year = "2013",

doi = "10.23919/ECC.2013.6669370",

language = "English",

pages = "2421--2426",

booktitle = "2013 European Control Conference (ECC)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "12th European Control Conference, ECC 2013, ECC 2013 ; Conference date: 17-07-2013 Through 19-07-2013",

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T1 - Modeling random flocks through generalized factor analysis

AU - Bottegal, G.

AU - Picci, Giorgio

N1 - Conference code: 12

PY - 2013

Y1 - 2013

N2 - In this paper, we study modeling and identification of stochastic systems by Generalized Factor Analysis models. Although this class of models was originally introduced for econometric purposes, we present some possible applications of engineering interest. In particular, we show that there is a natural connection between Generalized Factor Analysis models and multi-agents systems. The common factor component of the model has an interpretation as a flocking component of the system behavior

AB - In this paper, we study modeling and identification of stochastic systems by Generalized Factor Analysis models. Although this class of models was originally introduced for econometric purposes, we present some possible applications of engineering interest. In particular, we show that there is a natural connection between Generalized Factor Analysis models and multi-agents systems. The common factor component of the model has an interpretation as a flocking component of the system behavior

U2 - 10.23919/ECC.2013.6669370

DO - 10.23919/ECC.2013.6669370

M3 - Conference contribution

SP - 2421

EP - 2426

BT - 2013 European Control Conference (ECC)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 12th European Control Conference, ECC 2013

Y2 - 17 July 2013 through 19 July 2013

ER -

Modeling random flocks through generalized factor analysis

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Congres

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