Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system

Mahmoud El-kafafy; Péter Zoltán Csurcsia; Bram  Cornelis; Risaliti Enrico; Karl Janssens

Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system

Mahmoud El-kafafy, Péter Zoltán Csurcsia, Bram Cornelis, Risaliti Enrico, Karl Janssens

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Original language	English
Title of host publication	Proceedings of the International Conference on Noise and Vibration Engineering (ISMA)
Publisher	KU Leuven
Pages	3287-3301
ISBN (Print)	9789082893113
Publication status	Published - 9 Sep 2020
Event	International Conference on Noise and Vibration Engineering 2020 - Leuven, Belgium Duration: 7 Sep 2020 → 9 Sep 2020

Conference

Conference	International Conference on Noise and Vibration Engineering 2020
Abbreviated title	ISMA2020
Country	Belgium
City	Leuven
Period	7/09/20 → 9/09/20

Cite this

El-kafafy, Mahmoud ; Csurcsia, Péter Zoltán ; Cornelis, Bram ; Enrico, Risaliti ; Janssens, Karl. / Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system. Proceedings of the International Conference on Noise and Vibration Engineering (ISMA). KU Leuven, 2020. pp. 3287-3301

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title = "Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system",

author = "Mahmoud El-kafafy and Csurcsia, {P{\'e}ter Zolt{\'a}n} and Bram Cornelis and Risaliti Enrico and Karl Janssens",

year = "2020",

month = "9",

day = "9",

language = "English",

isbn = "9789082893113",

pages = "3287--3301",

booktitle = "Proceedings of the International Conference on Noise and Vibration Engineering (ISMA)",

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El-kafafy, M, Csurcsia, PZ, Cornelis, B, Enrico, R & Janssens, K 2020, Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system. in Proceedings of the International Conference on Noise and Vibration Engineering (ISMA). KU Leuven, pp. 3287-3301, International Conference on Noise and Vibration Engineering 2020, Leuven, Belgium, 7/09/20.

Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system. / El-kafafy, Mahmoud; Csurcsia, Péter Zoltán; Cornelis, Bram ; Enrico, Risaliti; Janssens, Karl.

Proceedings of the International Conference on Noise and Vibration Engineering (ISMA). KU Leuven, 2020. p. 3287-3301.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Machine learning and system identification for the estimation of data-driven models: an experimental case study illustrated on a tire-suspension system

AU - El-kafafy, Mahmoud

AU - Csurcsia, Péter Zoltán

AU - Cornelis, Bram

AU - Enrico, Risaliti

AU - Janssens, Karl

PY - 2020/9/9

Y1 - 2020/9/9

M3 - Conference paper

SN - 9789082893113

SP - 3287

EP - 3301

BT - Proceedings of the International Conference on Noise and Vibration Engineering (ISMA)

PB - KU Leuven

ER -