Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization

Maarten Schoukens; Gerd Vandersteen; Yves Rolain; Francesco Ferranti

doi:10.1049/el.2014.3649

Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization

Maarten Schoukens, Gerd Vandersteen, Yves Rolain, Francesco Ferranti

Electricity

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamics is significantly improved by using discrete optimization. The discrete optimization is implemented as a genetic algorithm. Numerical results confirm the efficiency and accuracy of the proposed approach.

Original language	English
Pages (from-to)	1942-1944
Number of pages	3
Journal	Electronics Letters
Volume	50
Issue number	25
DOIs	https://doi.org/10.1049/el.2014.3649
Publication status	Published - 1 Dec 2014

Keywords

circuit optimisation
genetic algorithms
identification
nonlinear network synthesis

Access to Document

10.1049/el.2014.3649

FWOTM763: High-dimensional and stochastic macromodeling of parameterized high-speed systems
Ferranti, F.
1/10/13 → 30/09/16
Project: Fundamental
SRP19: Strategic Research Programme: Center for model-based system improvement - From Computer-Aided Engineering to Model-Aided Engineering
Vandersteen, G., Rolain, Y., Wambacq, P., Kuijk, M., Vandersteen, G., Rolain, Y., Wambacq, P. & Kuijk, M.
1/11/12 → 31/10/24
Project: Fundamental

Cite this

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title = "Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization",

abstract = "This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamics is significantly improved by using discrete optimization. The discrete optimization is implemented as a genetic algorithm. Numerical results confirm the efficiency and accuracy of the proposed approach.",

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author = "Maarten Schoukens and Gerd Vandersteen and Yves Rolain and Francesco Ferranti",

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AU - Vandersteen, Gerd

AU - Rolain, Yves

AU - Ferranti, Francesco

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Y1 - 2014/12/1

N2 - This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamics is significantly improved by using discrete optimization. The discrete optimization is implemented as a genetic algorithm. Numerical results confirm the efficiency and accuracy of the proposed approach.

AB - This letter proposes a fast identification algorithm for Wiener-Hammerstein systems. The computational cost of separating the front and the back linear time invariant block dynamics is significantly improved by using discrete optimization. The discrete optimization is implemented as a genetic algorithm. Numerical results confirm the efficiency and accuracy of the proposed approach.

KW - circuit optimisation

KW - genetic algorithms

KW - identification

KW - nonlinear network synthesis

U2 - 10.1049/el.2014.3649

DO - 10.1049/el.2014.3649

M3 - Article

VL - 50

SP - 1942

EP - 1944

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 25

ER -

Fast Identification of Wiener-Hammerstein Systems using Discrete Optimization

Abstract

Keywords

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Projects

FWOTM763: High-dimensional and stochastic macromodeling of parameterized high-speed systems

SRP19: Strategic Research Programme: Center for model-based system improvement - From Computer-Aided Engineering to Model-Aided Engineering

Cite this