题名 | A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN |
作者 | |
通讯作者 | Chai,Runqi |
发表日期 | 2024-05-01
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DOI | |
发表期刊 | |
ISSN | 2329-9266
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EISSN | 2329-9274
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卷号 | 11期号:5页码:1292-1294 |
摘要 | Dear Editor, This letter presents a novel data-driven trajectory planning and control scheme for the unmanned ground vehicles (UGVs). A recent work [1] has demonstrated the effectiveness of approximating the optimal state feedback for a nonlinear unmanned system via deep neural network (DNN). To further the previous research, we construct a long-short term memory recurrent deep neural network (LSTMRDNN) to improve the performance of the data-driven approximation instrument. The proposed strategy is evaluated and verified through theoretical analyses and experiments. |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
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学校署名 | 第一
; 通讯
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Scopus记录号 | 2-s2.0-85191023932
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来源库 | Scopus
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引用统计 | |
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/760913 |
专题 | 工学院_电子与电气工程系 |
作者单位 | The authors are with the Vanke School of Public Health, Institute for Healthy China, Tsinghua University, Beijing 100084, the School of Automation, Beijing Institute of Technology, Beijing 100081, and the Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen 518055, China |
第一作者单位 | 电子与电气工程系 |
通讯作者单位 | 电子与电气工程系 |
第一作者的第一单位 | 电子与电气工程系 |
推荐引用方式 GB/T 7714 |
Chen,Kaiyuan,Chai,Runqi,Zhang,Runda,et al. A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(5):1292-1294.
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APA |
Chen,Kaiyuan,Chai,Runqi,Zhang,Runda,Xing,Zhida,Xia,Yuanqing,&Liu,Guoping.(2024).A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN.IEEE/CAA Journal of Automatica Sinica,11(5),1292-1294.
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MLA |
Chen,Kaiyuan,et al."A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN".IEEE/CAA Journal of Automatica Sinica 11.5(2024):1292-1294.
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条目包含的文件 | 条目无相关文件。 |
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