Longitudinal Vehicle Dynamics: A Comparison of Physical and Data-Driven Models Under Large-Scale Real-World Driving Conditions-Reference-Cited by-同舟云学术

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Longitudinal Vehicle Dynamics: A Comparison of Physical and Data-Driven Models Under Large-Scale Real-World Driving Conditions

Published:2020 Issue: Volume:8 Page:73714-73729
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

James Sebastian S.^ORCID,Anderson Sean R.,Lio Mauro Da

Funder

EU under H2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09069926.pdf?arnumber=9069926

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction Method of PHEV Driving Energy Consumption Based on the Optimized CNN BiLSTM Attention Network;Energies;2024-06-16

2. Intelligent vehicle trajectory tracking control based on physics-informed neural network dynamics model;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-04-23

3. An artificial neural network-based integrated tilt control system for narrow electric three-wheelers;Expert Systems with Applications;2024-03

4. Applicability Study of Model-Free Reinforcement Learning Towards an Automated Design Space Exploration Framework;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

5. Trajectory Tracking Control of Intelligent Vehicles;Journal of Electrical Engineering & Technology;2023-07-26

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