CASIA OpenIR  > 复杂系统认知与决策实验室  > 先进机器人
Adaptive neural control of quadruped robots with input deadzone
Zhang, Shuang1,2; Zhang, Donghao1,2; Chang, Cheng3; Fu, Qiang1,2; Wang, Yu4
发表期刊NEUROCOMPUTING
ISSN0925-2312
2019-02-15
卷号329页码:486-494
通讯作者Zhang, Shuang(zhangshuang.ac@gmail.com)
摘要In this paper, neural network control are presented for a quadruped robot with input deadzone. The study is aiming at the compensation for input deadzone and the control of trajectory using radial basis function neural networks under both full state feedback and output feedback. Neural networks are utlized to estimate the unknown parameters in the quadruped robot model and compensate for input deadzone. The closed-loop stability is proved by Lyapunov's stability theorem. The extensive simulations are conducted to show the validity of the proposed control. (C) 2018 Elsevier B.V. All rights reserved.
关键词Quadruped robot Neural networks Input deadzone Full state feedback Output feedback
DOI10.1016/j.neucom.2018.09.032
关键词[WOS]ITERATIVE LEARNING CONTROL ; NETWORK CONTROL ; VIBRATION CONTROL ; MULTIPLE MODELS ; MOTION CONTROL ; FUZZY CONTROL ; SYSTEMS ; COMPENSATION ; TRACKING ; DESIGN
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61873297] ; National Natural Science Foundation of China[61803025] ; Beijing Science and Technology Project[Z18110 0 0 031180 06] ; Fundamental Research Funds for the China Central Universities of USTB[FRF-BD-17-002A] ; National Natural Science Foundation of China[61873297] ; National Natural Science Foundation of China[61803025] ; Beijing Science and Technology Project[Z18110 0 0 031180 06] ; Fundamental Research Funds for the China Central Universities of USTB[FRF-BD-17-002A]
项目资助者National Natural Science Foundation of China ; Beijing Science and Technology Project ; Fundamental Research Funds for the China Central Universities of USTB
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000453924300043
出版者ELSEVIER SCIENCE BV
引用统计
被引频次:6[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/173211/25678
专题复杂系统认知与决策实验室_先进机器人
复杂系统管理与控制国家重点实验室
通讯作者Zhang, Shuang
作者单位1.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Univ Sci & Technol Beijing, Inst Artificial Intelligence, Beijing 100083, Peoples R China
3.Huazhong Univ Sci & Technol, Sch Automat, Wuhan 430074, Hubei, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Shuang,Zhang, Donghao,Chang, Cheng,et al. Adaptive neural control of quadruped robots with input deadzone[J]. NEUROCOMPUTING,2019,329:486-494.
APA Zhang, Shuang,Zhang, Donghao,Chang, Cheng,Fu, Qiang,&Wang, Yu.(2019).Adaptive neural control of quadruped robots with input deadzone.NEUROCOMPUTING,329,486-494.
MLA Zhang, Shuang,et al."Adaptive neural control of quadruped robots with input deadzone".NEUROCOMPUTING 329(2019):486-494.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Shuang]的文章
[Zhang, Donghao]的文章
[Chang, Cheng]的文章
百度学术
百度学术中相似的文章
[Zhang, Shuang]的文章
[Zhang, Donghao]的文章
[Chang, Cheng]的文章
必应学术
必应学术中相似的文章
[Zhang, Shuang]的文章
[Zhang, Donghao]的文章
[Chang, Cheng]的文章
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。