Deep learning framework for controlling an active suspension system
Author:
Affiliation:
1. Faculty of Science, Engineering and Computing, Kingston University London, UK
2. Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering,Mechanics of Materials,Aerospace Engineering,Automotive Engineering,General Materials Science
Link
http://journals.sagepub.com/doi/pdf/10.1177/1077546319853070
Reference7 articles.
1. Feedforward artificial neural network to improve model predictive control in biological processes
2. Mechatronic semi-active and active vehicle suspensions
3. Road excitation classification for semi-active suspension system based on system response
Cited by 25 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. The self-tuning fuzzy sliding mode control method for the suspension system with the LSTM network road identification;Journal of Sound and Vibration;2024-07
2. Application of hybrid control algorithm on the vehicle active suspension system to reduce vibrations;Advances in Mechanical Engineering;2024-03
3. Control of a nonlinear active suspension system based on deep reinforcement learning and expert demonstrations;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-09-13
4. Application of Deep Neural Networks for the Parameter Identifications of Lumped and Distributed Parameter Models Under Severe Noises and Various Initial Values;Journal of Vibration Engineering & Technologies;2023-07-22
5. A new approach to controlling an active suspension system based on reinforcement learning;Advances in Mechanical Engineering;2023-06
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3