Combining experiments for linear dynamic network identification in the presence of nonlinearities

Research output: Contribution to journalConference articleAcademicpeer-review

Abstract

In many practical applications it might be desirable to excite only point at a time in an interconnection of multiple dynamic subsystems (e.g. large-scale system). Therefore multiple experiments need to be combined to successfully identify one or more subsystems in the network of subsystems. This papers illustrates how the identification of a linear subsystem of a dynamical network containing one or more nonlinear subsystems can result in biased estimates when multiple experiments are combined using the Best Linear Approximation (BLA) based approach.

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@article{caca8565e879488ba5afbe6f1e4333a7,
title = "Combining experiments for linear dynamic network identification in the presence of nonlinearities",
abstract = "In many practical applications it might be desirable to excite only point at a time in an interconnection of multiple dynamic subsystems (e.g. large-scale system). Therefore multiple experiments need to be combined to successfully identify one or more subsystems in the network of subsystems. This papers illustrates how the identification of a linear subsystem of a dynamical network containing one or more nonlinear subsystems can result in biased estimates when multiple experiments are combined using the Best Linear Approximation (BLA) based approach.",
author = "M. Schoukens and J.P. No{\"e}l and {van den Hof}, P.M.J.",
year = "2018",
month = "11",
day = "13",
doi = "10.1088/1742-6596/1065/21/212026",
language = "English",
volume = "1065",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "Institute of Physics",
number = "21",

}

Combining experiments for linear dynamic network identification in the presence of nonlinearities. / Schoukens, M.; Noël, J.P.; van den Hof, P.M.J.

In: Journal of Physics: Conference Series, Vol. 1065, No. 21, 212026, 13.11.2018.

Research output: Contribution to journalConference articleAcademicpeer-review

TY - JOUR

T1 - Combining experiments for linear dynamic network identification in the presence of nonlinearities

AU - Schoukens,M.

AU - Noël,J.P.

AU - van den Hof,P.M.J.

PY - 2018/11/13

Y1 - 2018/11/13

N2 - In many practical applications it might be desirable to excite only point at a time in an interconnection of multiple dynamic subsystems (e.g. large-scale system). Therefore multiple experiments need to be combined to successfully identify one or more subsystems in the network of subsystems. This papers illustrates how the identification of a linear subsystem of a dynamical network containing one or more nonlinear subsystems can result in biased estimates when multiple experiments are combined using the Best Linear Approximation (BLA) based approach.

AB - In many practical applications it might be desirable to excite only point at a time in an interconnection of multiple dynamic subsystems (e.g. large-scale system). Therefore multiple experiments need to be combined to successfully identify one or more subsystems in the network of subsystems. This papers illustrates how the identification of a linear subsystem of a dynamical network containing one or more nonlinear subsystems can result in biased estimates when multiple experiments are combined using the Best Linear Approximation (BLA) based approach.

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U2 - 10.1088/1742-6596/1065/21/212026

DO - 10.1088/1742-6596/1065/21/212026

M3 - Conference article

VL - 1065

JO - Journal of Physics: Conference Series

T2 - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

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M1 - 212026

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