University of Zagreb Faculty of Electrical Engineering and Computing repozitory
| Title (english) | Predictive approach to torque vectoring based on the Koopman operator dataset |
| Author | Šandor Ileš |
| Author | Marko Švec |
| Author | Jadranko 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) | |
| Language | english |
| URN:NBN | urn:nbn:hr:168:196744 |
| Publication | 2024-03-27 |
| Project | Number: 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 object | Is supplemented by: DOI 10.23919/ECC54610.2021.9654836 |
| Publisher | Fakultet elektrotehnike i računarstva Faculty of Electrical Engineering and Computing |
| Access conditions | Open access |
| Terms of use |  |
| 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 on | 2024-03-27 20:05:05 |
