Neural network-based region reaching formation control for multi-robot systems in obstacle environment | |
Yu, Jinwei[1]; Ji, Jinchen[2]; Miao, Zhonghua[3]; Zhou, Jin[4] | |
刊名 | NEUROCOMPUTING |
2019 | |
卷号 | 333页码:11-21 |
关键词 | Formation control Region control Neural network Collision and obstacle avoidance Multi-robot systems |
ISSN号 | 0925-2312 |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2163737 |
专题 | 上海大学 |
作者单位 | 1.[1]Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China. 2.Taiyuan Univ Technol, Coll Math, Taiyuan 030024, Shanxi, Peoples R China. 3.[2]Univ Technol Sydney, Fac Engn & IT, POB 123, Sydney, NSW 2007, Australia. 4.[3]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China. 5.[4]Shanghai Univ, Shanghai Inst Appl Math & Mech, Shanghai 200072, Peoples R China. 6.Shanghai Univ, Shanghai Key Lab Meachan Energy Engn, Shanghai 200072, Peoples R China. |
推荐引用方式 GB/T 7714 | Yu, Jinwei[1],Ji, Jinchen[2],Miao, Zhonghua[3],et al. Neural network-based region reaching formation control for multi-robot systems in obstacle environment[J]. NEUROCOMPUTING,2019,333:11-21. |
APA | Yu, Jinwei[1],Ji, Jinchen[2],Miao, Zhonghua[3],&Zhou, Jin[4].(2019).Neural network-based region reaching formation control for multi-robot systems in obstacle environment.NEUROCOMPUTING,333,11-21. |
MLA | Yu, Jinwei[1],et al."Neural network-based region reaching formation control for multi-robot systems in obstacle environment".NEUROCOMPUTING 333(2019):11-21. |
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