CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 智能化团队
Full-range adaptive cruise control based on supervised adaptive dynamic programming
Zhao, Dongbin1; Hu, Zhaohui1,2; Xia, Zhongpu1; Alippi, Cesare1,3; Zhu, Yuanheng1; Wang, Ding1
Source PublicationNEUROCOMPUTING
2014-02-11
Volume125Pages:57-67
SubtypeArticle
AbstractThe paper proposes a supervised adaptive dynamic programming (SADP) algorithm for a full-range adaptive cruise control (ACC) system, which can be formulated as a dynamic programming problem with stochastic demands. The suggested ACC system has been designed to allow the host vehicle to drive both in highways and in Stop and Go (SG) urban scenarios. The ACC system can autonomously drive the host vehicle to a desired speed and/or a given distance from the target vehicle in both operational cases. Traditional adaptive dynamic programming (ADP) is a suitable tool to address the problem but training usually suffers from low convergence rates and hardly achieves an effective controller. A SADP algorithm which introduces the concept of inducing region is here introduced to overcome such training drawbacks. The SADP algorithm performs very well in all simulation scenarios and always better than more traditional controllers. The conclusion is that the proposed SADP algorithm is an effective control methodology able to effectively address the full-range ACC problem. (C) 2013 Elsevier B.V. All rights reserved.
KeywordAdaptive Dynamic Programming Supervised Reinforcement Learning Neural Networks Adaptive Cruise Control Stop And Go
WOS HeadingsScience & Technology ; Technology
WOS KeywordAVOIDANCE ; SYSTEMS ; DESIGN
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000328710200010
Citation statistics
Cited Times:41[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3869
Collection复杂系统管理与控制国家重点实验室_智能化团队
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Guangdong Power Grid Corp, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China
3.Politecn Milan, Dipartimento Elettron & Informaz, I-20133 Milan, Italy
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Dongbin,Hu, Zhaohui,Xia, Zhongpu,et al. Full-range adaptive cruise control based on supervised adaptive dynamic programming[J]. NEUROCOMPUTING,2014,125:57-67.
APA Zhao, Dongbin,Hu, Zhaohui,Xia, Zhongpu,Alippi, Cesare,Zhu, Yuanheng,&Wang, Ding.(2014).Full-range adaptive cruise control based on supervised adaptive dynamic programming.NEUROCOMPUTING,125,57-67.
MLA Zhao, Dongbin,et al."Full-range adaptive cruise control based on supervised adaptive dynamic programming".NEUROCOMPUTING 125(2014):57-67.
Files in This Item: Download All
File Name/Size DocType Version Access License
3. J2014.Neurocomput(2228KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Dongbin]'s Articles
[Hu, Zhaohui]'s Articles
[Xia, Zhongpu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Dongbin]'s Articles
[Hu, Zhaohui]'s Articles
[Xia, Zhongpu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Dongbin]'s Articles
[Hu, Zhaohui]'s Articles
[Xia, Zhongpu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 3. J2014.Neurocomputing-ZhaoHuXiaAlippiZhu.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.