Full-range adaptive cruise control based on supervised adaptive dynamic programming

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Full-range adaptive cruise control based on supervised adaptive dynamic programming
	Zhao, Dongbin1 ; Hu, Zhaohui 1,2; Xia, Zhongpu1 ; Alippi, Cesare 1,3; Zhu, Yuanheng1 ; Wang, Ding1
发表期刊	NEUROCOMPUTING
	2014-02-11
卷号	125 页码:57-67
文章类型	Article
摘要	The 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.
关键词	Adaptive Dynamic Programming Supervised Reinforcement Learning Neural Networks Adaptive Cruise Control Stop And Go
WOS标题词	Science & Technology ; Technology
关键词[WOS]	AVOIDANCE ; SYSTEMS ; DESIGN
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000328710200010
引用统计	被引频次：70[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3869
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
作者单位	1.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
第一作者单位	中国科学院自动化研究所
推荐引用方式 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.

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