Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fields: Editorial statement

J.P. Noël; M. Schoukens

doi:10.1016/j.ymssp.2019.04.061

Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fields: Editorial statement

J.P. Noël (Corresponding author), M. Schoukens

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

4 Citations (Scopus)

77 Downloads (Pure)

Original language	English
Pages (from-to)	213-220
Number of pages	8
Journal	Mechanical Systems and Signal Processing
Volume	130
DOIs	https://doi.org/10.1016/j.ymssp.2019.04.061
Publication status	Published - 1 Sept 2019

Keywords

Benchmark systems
Nonlinear data-driven modelling
Nonlinear system identification

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10.1016/j.ymssp.2019.04.061

Publishers versionFinal published version, 965 KBLicence: TAVERNE

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title = "Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fields: Editorial statement",

keywords = "Benchmark systems, Nonlinear data-driven modelling, Nonlinear system identification",

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AU - Noël, J.P.

AU - Schoukens, M.

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KW - Benchmark systems

KW - Nonlinear data-driven modelling

KW - Nonlinear system identification

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JO - Mechanical Systems and Signal Processing

JF - Mechanical Systems and Signal Processing

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Cross-fertilising research in nonlinear system identification between the mechanical, control and machine learning fields: Editorial statement

Keywords

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