Self-Learning Longitudinal Control for On-Road Vehicles

Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world ex...

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المؤلف الرئيسي: Puccetti, Luca
التنسيق: Online
اللغة:الإنجليزية
منشور في: KIT Scientific Publishing 2023
الموضوعات:
الوصول للمادة أونلاين:https://library.oapen.org/handle/20.500.12657/63614
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author Puccetti, Luca
author_browse Puccetti, Luca
author_facet Puccetti, Luca
author_sort Puccetti, Luca
collection Directory of Open Access Books
description Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world experiments.
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institution Directory of Open Access Books
language eng
publishDate 2023
publishDateRange 2023
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spelling doab-20.500.12854ir-1016542025-05-27T07:12:35Z Self-Learning Longitudinal Control for On-Road Vehicles Puccetti, Luca Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world experiments. 2023-07-19T09:02:58Z 2023-07-19T09:02:58Z 2023-06-20T10:55:01Z 2023 book https://library.oapen.org/handle/20.500.12657/63614 9783731512905 https://directory.doabooks.org/handle/20.500.12854/101654 eng Karlsruher Beiträge zur Regelungs- und Steuerungstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/63614/1/self-learning-longitudinal-control-for-on-road-vehicles.pdf https://library.oapen.org/bitstream/20.500.12657/63614/1/self-learning-longitudinal-control-for-on-road-vehicles.pdf https://library.oapen.org/bitstream/20.500.12657/63614/1/self-learning-longitudinal-control-for-on-road-vehicles.pdf https://library.oapen.org/bitstream/20.500.12657/63614/1/self-learning-longitudinal-control-for-on-road-vehicles.pdf KIT Scientific Publishing 10.5445/KSP/1000156966 10.5445/KSP/1000156966 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512905 AG Universitätsverlage 158 open access
spellingShingle Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Puccetti, Luca
Self-Learning Longitudinal Control for On-Road Vehicles
title Self-Learning Longitudinal Control for On-Road Vehicles
title_full Self-Learning Longitudinal Control for On-Road Vehicles
title_fullStr Self-Learning Longitudinal Control for On-Road Vehicles
title_full_unstemmed Self-Learning Longitudinal Control for On-Road Vehicles
title_short Self-Learning Longitudinal Control for On-Road Vehicles
title_sort self learning longitudinal control for on road vehicles
topic Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
topic_facet Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
url https://library.oapen.org/handle/20.500.12657/63614
work_keys_str_mv AT puccettiluca selflearninglongitudinalcontrolforonroadvehicles