Subspace identification of 1D large-scale heterogeneous network

Chengpu Yu; Michel Verhaegen

doi:10.1109/ICCA.2017.8003063

Subspace identification of 1D large-scale heterogeneous network

Team Raf Van de Plas

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

The identification of a 1D heterogenous network with unmeasurable interconnections between neighboring systems is studied in this paper. For a large-scale networked system, it is usually computationally prohibitive to identify the global system in a centralized manner. To cope with this problem, the local identification of a network using local input-output data is considered in this paper, and a subspace identification method is developed for the identification of individual systems operating in the network. A simulation example is given to validate the proposed identification method.

Original language	English
Title of host publication	Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA)
Editors	H. Liu, H. Lin
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	218-223
ISBN (Print)	978-1-5386-2679-5
DOIs	https://doi.org/10.1109/ICCA.2017.8003063
Publication status	Published - 2017
Event	ICCA 2017 13th International Conference on Control & Automation - Ohrid, Macedonia, The Former Yugoslav Republic of Duration: 3 Jul 2017 → 6 Jul 2017

Conference

Conference	ICCA 2017 13th International Conference on Control & Automation
Abbreviated title	ICCA 2017
Country/Territory	Macedonia, The Former Yugoslav Republic of
City	Ohrid
Period	3/07/17 → 6/07/17

Keywords

Estimation
Mathematical model
Noise measurement
Approximation algorithms
Instruments
Linear systems
Matrix decomposition

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10.1109/ICCA.2017.8003063

Cite this

@inproceedings{05a72c083e284b53b79091bca90c1cc7,

title = "Subspace identification of 1D large-scale heterogeneous network",

abstract = "The identification of a 1D heterogenous network with unmeasurable interconnections between neighboring systems is studied in this paper. For a large-scale networked system, it is usually computationally prohibitive to identify the global system in a centralized manner. To cope with this problem, the local identification of a network using local input-output data is considered in this paper, and a subspace identification method is developed for the identification of individual systems operating in the network. A simulation example is given to validate the proposed identification method.",

keywords = "Estimation, Mathematical model, Noise measurement, Approximation algorithms, Instruments, Linear systems, Matrix decomposition",

author = "Chengpu Yu and Michel Verhaegen",

year = "2017",

doi = "10.1109/ICCA.2017.8003063",

language = "English",

isbn = "978-1-5386-2679-5",

pages = "218--223",

editor = "H. Liu and H. Lin",

booktitle = "Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA)",

publisher = "IEEE",

address = "United States",

note = "ICCA 2017 13th International Conference on Control & Automation, ICCA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",

}

Yu, C & Verhaegen, M 2017, Subspace identification of 1D large-scale heterogeneous network. in H Liu & H Lin (eds), Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA). IEEE, Piscataway, NJ, USA, pp. 218-223, ICCA 2017 13th International Conference on Control & Automation, Ohrid, Macedonia, The Former Yugoslav Republic of, 3/07/17. https://doi.org/10.1109/ICCA.2017.8003063

Subspace identification of 1D large-scale heterogeneous network. / Yu, Chengpu; Verhaegen, Michel.
Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA). ed. / H. Liu; H. Lin. Piscataway, NJ, USA: IEEE, 2017. p. 218-223.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Subspace identification of 1D large-scale heterogeneous network

AU - Yu, Chengpu

AU - Verhaegen, Michel

PY - 2017

Y1 - 2017

N2 - The identification of a 1D heterogenous network with unmeasurable interconnections between neighboring systems is studied in this paper. For a large-scale networked system, it is usually computationally prohibitive to identify the global system in a centralized manner. To cope with this problem, the local identification of a network using local input-output data is considered in this paper, and a subspace identification method is developed for the identification of individual systems operating in the network. A simulation example is given to validate the proposed identification method.

AB - The identification of a 1D heterogenous network with unmeasurable interconnections between neighboring systems is studied in this paper. For a large-scale networked system, it is usually computationally prohibitive to identify the global system in a centralized manner. To cope with this problem, the local identification of a network using local input-output data is considered in this paper, and a subspace identification method is developed for the identification of individual systems operating in the network. A simulation example is given to validate the proposed identification method.

KW - Estimation

KW - Mathematical model

KW - Noise measurement

KW - Approximation algorithms

KW - Instruments

KW - Linear systems

KW - Matrix decomposition

U2 - 10.1109/ICCA.2017.8003063

DO - 10.1109/ICCA.2017.8003063

M3 - Conference contribution

SN - 978-1-5386-2679-5

SP - 218

EP - 223

BT - Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA)

A2 - Liu, H.

A2 - Lin, H.

PB - IEEE

CY - Piscataway, NJ, USA

T2 - ICCA 2017 13th International Conference on Control & Automation

Y2 - 3 July 2017 through 6 July 2017

ER -

Subspace identification of 1D large-scale heterogeneous network

Abstract

Conference

Keywords

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