Distributed robust adaptive learning coordination control for high-order nonlinear multi-agent systems with input saturation | |
Yang, Nana1,2; Li, Junmin2 | |
2020 | |
发表期刊 | IEEE Access |
ISSN | 2169-3536 |
卷号 | 8页码:9953-9964 |
摘要 | The paper involves the distributed robust adaptive learning coordination control for high-order nonlinear multi-agent systems, where the leader has nonzero input and followers are subject to input saturation. To solve the problem, two initial assumptions concerning initial state learning and alignment initial condition are introduced, and the distributed learning protocols as well as parameter adaptive laws are designed. It should be noted that the protocols proposed under initial state learning containing the global information are not fully distributed, while the fully distributed protocols can be obtained by the alignment initial condition. Through the rigorous analysis, it is proved that each follower can perfectly track the leader on a finite time interval under both two assumptions. Then, the consensus results under the alignment initial condition are generalized to formation control and two simulation examples verify the correctness and feasibility of the proposed algorithms. © 2013 IEEE. |
关键词 | Adaptive control systems Iterative methods Learning systems Adaptive coordination Distributed protocols Finite time intervals Initial state learning Input saturation Iterative learning control Nonlinear multi-agent systems Parameter adaptive laws |
DOI | 10.1109/ACCESS.2019.2961745 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000537430500001 |
出版者 | Institute of Electrical and Electronics Engineers Inc., United States |
EI入藏号 | 20200508102749 |
EI主题词 | Multi agent systems |
EI分类号 | 731.1 Control Systems - 921.6 Numerical Methods |
来源库 | Compendex |
分类代码 | 731.1 Control Systems - 921.6 Numerical Methods |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/115441 |
专题 | 理学院 |
通讯作者 | Yang, Nana; Li, Junmin |
作者单位 | 1.Lanzhou Univ Technol, Sch Sci, Lanzhou 730050, Peoples R China; 2.Xidian Univ, Sch Math & Stat, Xian 710071, Peoples R China |
第一作者单位 | 理学院 |
通讯作者单位 | 理学院 |
第一作者的第一单位 | 理学院 |
推荐引用方式 GB/T 7714 | Yang, Nana,Li, Junmin. Distributed robust adaptive learning coordination control for high-order nonlinear multi-agent systems with input saturation[J]. IEEE Access,2020,8:9953-9964. |
APA | Yang, Nana,&Li, Junmin.(2020).Distributed robust adaptive learning coordination control for high-order nonlinear multi-agent systems with input saturation.IEEE Access,8,9953-9964. |
MLA | Yang, Nana,et al."Distributed robust adaptive learning coordination control for high-order nonlinear multi-agent systems with input saturation".IEEE Access 8(2020):9953-9964. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Yang-2020-Distribute(1565KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
个性服务 |
查看访问统计 |
谷歌学术 |
谷歌学术中相似的文章 |
[Yang, Nana]的文章 |
[Li, Junmin]的文章 |
百度学术 |
百度学术中相似的文章 |
[Yang, Nana]的文章 |
[Li, Junmin]的文章 |
必应学术 |
必应学术中相似的文章 |
[Yang, Nana]的文章 |
[Li, Junmin]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
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。
修改评论