Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

Jiang Long; Wei Wang; Jing Zhou; Hao Wu

doi:10.1109/CDC.2018.8619053

Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

Jiang Long
, Wei Wang
, Jing Zhou
, Hao Wu

自动化科学与电气工程学院

Beihang University
University of Agder
CNCERT/CC

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that all the closed-loop signals are globally uniformly bounded and desired output consensus tracking can be achieved.

源语言	英语
主期刊名	2018 IEEE Conference on Decision and Control, CDC 2018
出版商	Institute of Electrical and Electronics Engineers Inc.
页	2211-2216
页数	6
ISBN（电子版）	9781538613955
DOI	https://doi.org/10.1109/CDC.2018.8619053
出版状态	已出版 - 2 7月 2018
活动	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, 美国期限: 17 12月 2018 → 19 12月 2018

出版系列

姓名	Proceedings of the IEEE Conference on Decision and Control
卷	2018-December
ISSN（印刷版）	0743-1546
ISSN（电子版）	2576-2370

会议

会议	57th IEEE Conference on Decision and Control, CDC 2018
国家/地区	美国
市	Miami
时期	17/12/18 → 19/12/18

访问文件

10.1109/CDC.2018.8619053

其它文件与链接

链接到 Scopus 的出版物

引用此

Long, J., Wang, W., Zhou, J., & Wu, H. (2018). Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition. 在 2018 IEEE Conference on Decision and Control, CDC 2018 (页码 2211-2216). 文章 8619053 (Proceedings of the IEEE Conference on Decision and Control; 卷 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619053

@inproceedings{7213192acfb14266aae00d58ae1da346,

title = "Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition",

abstract = "In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that all the closed-loop signals are globally uniformly bounded and desired output consensus tracking can be achieved.",

author = "Jiang Long and Wei Wang and Jing Zhou and Hao Wu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 57th IEEE Conference on Decision and Control, CDC 2018 ; Conference date: 17-12-2018 Through 19-12-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/CDC.2018.8619053",

language = "英语",

series = "Proceedings of the IEEE Conference on Decision and Control",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2211--2216",

booktitle = "2018 IEEE Conference on Decision and Control, CDC 2018",

address = "美国",

}

Long, J, Wang, W, Zhou, J & Wu, H 2018, Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition. 在 2018 IEEE Conference on Decision and Control, CDC 2018., 8619053, Proceedings of the IEEE Conference on Decision and Control, 卷 2018-December, Institute of Electrical and Electronics Engineers Inc., 页码 2211-2216, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, 美国, 17/12/18. https://doi.org/10.1109/CDC.2018.8619053

Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition. / Long, Jiang; Wang, Wei; Zhou, Jing 等.
2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 页码 2211-2216 8619053 (Proceedings of the IEEE Conference on Decision and Control; 卷 2018-December).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

AU - Long, Jiang

AU - Wang, Wei

AU - Zhou, Jing

AU - Wu, Hao

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that all the closed-loop signals are globally uniformly bounded and desired output consensus tracking can be achieved.

AB - In this paper, we investigate the output consensus tracking problem for a class of high-order nonlinear systems subjected to unknown parameters and uncertain external disturbances. A novel backstepping based distributed adaptive control scheme is presented under the directed communication status. For the subsystems without direct access to time-varying desired trajectory, local estimators are introduced and the corresponding adaptive laws are designed in a totally distributed fashion. With the presented scheme, the assumption on linearly parameterized reference signal and the information exchange operation of subsystem inputs in the existing results are no longer needed. It is shown that all the closed-loop signals are globally uniformly bounded and desired output consensus tracking can be achieved.

UR - https://www.scopus.com/pages/publications/85062182530

U2 - 10.1109/CDC.2018.8619053

DO - 10.1109/CDC.2018.8619053

M3 - 会议稿件

AN - SCOPUS:85062182530

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 2211

EP - 2216

BT - 2018 IEEE Conference on Decision and Control, CDC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 57th IEEE Conference on Decision and Control, CDC 2018

Y2 - 17 December 2018 through 19 December 2018

ER -

Long J, Wang W, Zhou J, Wu H. Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition. 在 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 页码 2211-2216. 8619053. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2018.8619053

Distributed Adaptive Consensus Tracking Control of Uncertain High-order Nonlinear Systems under Directed Graph Condition

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此