Learning-based model predictive control with moving horizon state estimation for autonomous racing

Authors

Yassine Kebbati (ORCID: https://orcid.org/0000-0003-2444-5648)
Vincent Vigneron (ORCID: https://orcid.org/0000-0001-5917-6041)
Dalil Ichalal (ORCID: https://orcid.org/0000-0003-0465-6966)
Andreas Rauh (ORCID: https://orcid.org/0000-0002-1548-6547)
Naima Ait-Oufroukh

Institutions

Carl von Ossietzky Universität Oldenburg (DE)
Universidade Estadual de Campinas (UNICAMP) (BR)
Université Paris-Saclay (FR)
Informatique, BioInformatique, Systèmes Complexes (FR)
Hospital de Clínicas da Unicamp (BR)

Publication Details

Journal: International Journal of Control
Published: 2024-09-28
DOI: https://doi.org/10.1080/00207179.2024.2409305
Citations: 2
Primary Topic: Advanced Control Systems Optimization
Type: article
Field-Weighted Citation Impact: 0.66

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article

Learning-based model predictive control with moving horizon state estimation for autonomous racing

Yassine Kebbati, Vincent Vigneron, Dalil Ichalal, Andreas Rauh et al.

Sep 28, 2024

2 citations

International Journal of Control

Advanced Control Systems Optimization

0.66

article

Learning-based model predictive control with moving horizon state estimation for autonomous racing

Yassine Kebbati, Vincent Vigneron, Dalil Ichalal, Andreas Rauh, Naima Ait-Oufroukh

September 28, 2024article en

2 citations

Abstract

No abstract available for this paper.

International Journal of ControlVol. 98(7)

Carl von Ossietzky Universität Oldenburg (DE), Universidade Estadual de Campinas (UNICAMP) (BR), Université Paris-Saclay (FR), Informatique, BioInformatique, Systèmes Complexes (FR), Hospital de Clínicas da Unicamp (BR)

Climate action

Openalex Percentile: Top 30%

Advanced Control Systems Optimization

0.66

DOI Open Access PDF OpenAlex

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