CORC  > 上海大学
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace