The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment

Péter Zoltán Csurcsia; Bart Peeters; Joannes Schoukens

The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment

Péter Zoltán Csurcsia, Bart Peeters, Joannes Schoukens

Engineering Technology

Onderzoeksoutput: Conference paper

Samenvatting

Many mechanical structures are nonlinear and there is no unique solution for modeling nonlinear systems. When a single-input, single-output system is excited by special signals, it is easily possible to decide whether the linear framework is still accurate enough to be used, or a nonlinear framework must be used. However, for multiple-input, multiple-output (MIMO) systems, the design of experiment is not a trivial question since the input and output channels are not mutually independent. This paper shows the first results of an ongoing research project and it addresses the questions related to the user-friendly processing of MIMO measurements with respect to the design of experiment and the analysis of the measured data.

Originele taal-2	English
Titel	Nonlinear Structures and Systems, Volume
Uitgeverij	Springer International Publishing
Hoofdstuk	1
Pagina's	53-64
Aantal pagina's	12
Volume	1
ISBN van elektronische versie	978-3-030-12391-8
ISBN van geprinte versie	978-3-030-12390-1
Status	Published - 29 jun. 2019
Evenement	37th International Modal Analysis Conference - Florida, Orlando, United States Duur: 25 jan. 2019 → 28 aug. 2019 Congresnummer: 37

Conference

Conference	37th International Modal Analysis Conference
Verkorte titel	IMAC
Land/Regio	United States
Stad	Orlando
Periode	25/01/19 → 28/08/19

SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling
De Troyer, T., Runacres, M., Blondeau, J., Bram, S., Bellemans, A. & Contino, F.
1/03/19 → 29/02/24
Project: Fundamenteel

Citeer dit

@inproceedings{d52e45e9912c4c6fbfacb01778172b95,

title = "The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment",

abstract = "Many mechanical structures are nonlinear and there is no unique solution for modeling nonlinear systems. When a single-input, single-output system is excited by special signals, it is easily possible to decide whether the linear framework is still accurate enough to be used, or a nonlinear framework must be used. However, for multiple-input, multiple-output (MIMO) systems, the design of experiment is not a trivial question since the input and output channels are not mutually independent. This paper shows the first results of an ongoing research project and it addresses the questions related to the user-friendly processing of MIMO measurements with respect to the design of experiment and the analysis of the measured data.",

author = "Csurcsia, {P{\'e}ter Zolt{\'a}n} and Bart Peeters and Joannes Schoukens",

year = "2019",

month = jun,

day = "29",

language = "English",

isbn = "978-3-030-12390-1",

volume = "1",

pages = "53--64",

booktitle = "Nonlinear Structures and Systems, Volume",

publisher = "Springer International Publishing",

note = "37th International Modal Analysis Conference, IMAC ; Conference date: 25-01-2019 Through 28-08-2019",

}

TY - GEN

T1 - The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment

AU - Csurcsia, Péter Zoltán

AU - Peeters, Bart

AU - Schoukens, Joannes

N1 - Conference code: 37

PY - 2019/6/29

Y1 - 2019/6/29

N2 - Many mechanical structures are nonlinear and there is no unique solution for modeling nonlinear systems. When a single-input, single-output system is excited by special signals, it is easily possible to decide whether the linear framework is still accurate enough to be used, or a nonlinear framework must be used. However, for multiple-input, multiple-output (MIMO) systems, the design of experiment is not a trivial question since the input and output channels are not mutually independent. This paper shows the first results of an ongoing research project and it addresses the questions related to the user-friendly processing of MIMO measurements with respect to the design of experiment and the analysis of the measured data.

AB - Many mechanical structures are nonlinear and there is no unique solution for modeling nonlinear systems. When a single-input, single-output system is excited by special signals, it is easily possible to decide whether the linear framework is still accurate enough to be used, or a nonlinear framework must be used. However, for multiple-input, multiple-output (MIMO) systems, the design of experiment is not a trivial question since the input and output channels are not mutually independent. This paper shows the first results of an ongoing research project and it addresses the questions related to the user-friendly processing of MIMO measurements with respect to the design of experiment and the analysis of the measured data.

M3 - Conference paper

SN - 978-3-030-12390-1

VL - 1

SP - 53

EP - 64

BT - Nonlinear Structures and Systems, Volume

PB - Springer International Publishing

T2 - 37th International Modal Analysis Conference

Y2 - 25 January 2019 through 28 August 2019

ER -

The Best Linear Approximation of MIMO Systems: First Results on Simplified Nonlinearity Assessment

Samenvatting

Conference

Vingerafdruk

Projecten

SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling

Citeer dit