Subspace identification of 1D large-scale heterogeneous network

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Subspace identification of 1D large-scale heterogeneous network

Conference Paper (2017)

Author(s)

Chengpu Yu (TU Delft - Mechanical Engineering)

Michel Verhaegen (TU Delft - Mechanical Engineering)

Research Group

Team Raf Van de Plas

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

DOI related publication

https://doi.org/10.1109/ICCA.2017.8003063

To reference this document use

https://resolver.tudelft.nl/uuid:05a72c08-3e28-4b53-b790-91bca90c1cc7

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Publication Year

2017

Language

English

Research Group

Team Raf Van de Plas

Pages (from-to)

218-223

ISBN (print)

978-1-5386-2679-5

Event

ICCA 2017 13th International Conference on Control & Automation (2017-07-03 - 2017-07-06), Ohrid, Macedonia, The Former Yugoslav Republic of

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112

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.