Dataset
Predictive approach to torque vectoring based on the Koopman operator dataset
Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:196744
Ileš, Šandor; Švec, Marko; Matuško, Jadranko

 Dataset
Dataset: dual-track-koopman-master.zip, 270.74 KB
Access Condition: Open access
Description:
Koopman based MPC of dual track vehicle model. The code was used to create the paper "Predictive approach to torque vectoring based on the Koopman operator" (English)
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Cite this document

Ileš, Š., Švec, M. & Matuško, J. (2024). Predictive approach to torque vectoring based on the Koopman operator dataset [Data set]. https://urn.nsk.hr/urn:nbn:hr:168:196744.

Ileš, Šandor, et al. Predictive approach to torque vectoring based on the Koopman operator dataset. Fakultet elektrotehnike i računarstva, 2024. 24 Feb 2025. https://urn.nsk.hr/urn:nbn:hr:168:196744.

Ileš, Šandor, Marko Švec, and Jadranko Matuško. 2024. Predictive approach to torque vectoring based on the Koopman operator dataset. Fakultet elektrotehnike i računarstva. https://urn.nsk.hr/urn:nbn:hr:168:196744.

Ileš, Š., Švec, M. and Matuško, J. 2024. Predictive approach to torque vectoring based on the Koopman operator dataset. Fakultet elektrotehnike i računarstva. [Online]. [Accessed 24 February 2025]. Available from: https://urn.nsk.hr/urn:nbn:hr:168:196744.

Ileš Š, Švec M, Matuško J. Predictive approach to torque vectoring based on the Koopman operator dataset. [Internet]. Fakultet elektrotehnike i računarstva; 2024, [cited 2025 February 24] Available from: https://urn.nsk.hr/urn:nbn:hr:168:196744.

Š. Ileš, M. Švec and J. Matuško, Predictive approach to torque vectoring based on the Koopman operator dataset, Fakultet elektrotehnike i računarstva, 2024. Accessed on: Feb 24, 2025. Available: https://urn.nsk.hr/urn:nbn:hr:168:196744.

Title (english)Predictive approach to torque vectoring based on the Koopman operator dataset
AuthorŠandor Ileš
AuthorMarko Švec
AuthorJadranko Matuško
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electromechanical Engineering
Abstract (english)
Koopman based MPC of dual track vehicle model. The code was used to create the paper "Predictive approach to torque vectoring based on the Koopman operator"
Methods (english)The dataset is created using a nonlinear dual-track model of the vehicle. Based on the nonlinear model a Koopman model is identified using EDMD and model predictive controller is synthesised,
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:196744
Publication2024-03-27
ProjectNumber: UIP-2019-04-6487
Title (croatian): Prediktivno upravljanje dinamikom vozila
Title (english): Predictive vehicle dynamics control
Acronym: PVDC
Leader: Šandor Ileš
Jurisdiction: Croatia
Funding stream: UIP
External related objectIs supplemented by: DOI 10.23919/ECC54610.2021.9654836
PublisherFakultet elektrotehnike i računarstva
Faculty of Electrical Engineering and Computing
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) icon
Public note (croatian)Podaci su dostupni i na javnom github repozitoriju: https://github.com/markosvec/dual-track-koopman
Public note (english)The data is also available on the public GitHub repository: https://github.com/markosvec/dual-track-koopman
Created on2024-03-27 20:05:05