Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints

Junjie Fu; Guanghui Wen; Yuezu Lv; Tingwen Huang

doi:10.1007/978-3-030-36711-4_41

Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints

Junjie Fu^*, Guanghui Wen, Yuezu Lv, Tingwen Huang

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

Consensus control of a class of high-order nonlinear multi-agent systems subject to multiple state constraints and input saturation is studied in this work. Barrier functions are employed to design a distributed controller which achieves consensus without violating the state constraints and input saturation provided that some feasibility conditions on the initial states and controller parameters are satisfied. The feasibility conditions can be checked off-line. Backstepping method and Lyapunov analysis are employed to study the convergence properties of the designed controller.

源语言	英语
主期刊名	Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings
编辑	Tom Gedeon, Kok Wai Wong, Minho Lee
出版商	Springer
页	492-503
页数	12
ISBN（印刷版）	9783030367107
DOI	https://doi.org/10.1007/978-3-030-36711-4_41
出版状态	已出版 - 2019
已对外发布	是
活动	26th International Conference on Neural Information Processing, ICONIP 2019 - Sydney, 澳大利亚期限: 12 12月 2019 → 15 12月 2019

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	11954 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	26th International Conference on Neural Information Processing, ICONIP 2019
国家/地区	澳大利亚
市	Sydney
时期	12/12/19 → 15/12/19

访问文件

10.1007/978-3-030-36711-4_41

其它文件与链接

链接到 Scopus 的出版物

引用此

Fu, J., Wen, G., Lv, Y., & Huang, T. (2019). Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. 在 T. Gedeon, K. W. Wong, & M. Lee (编辑), Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings (页码 492-503). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11954 LNCS). Springer. https://doi.org/10.1007/978-3-030-36711-4_41

Fu, Junjie ; Wen, Guanghui ; Lv, Yuezu 等. / Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. 编辑 / Tom Gedeon ; Kok Wai Wong ; Minho Lee. Springer, 2019. 页码 492-503 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{4d6aafc57cba47738112e26eb68279b0,

title = "Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints",

abstract = "Consensus control of a class of high-order nonlinear multi-agent systems subject to multiple state constraints and input saturation is studied in this work. Barrier functions are employed to design a distributed controller which achieves consensus without violating the state constraints and input saturation provided that some feasibility conditions on the initial states and controller parameters are satisfied. The feasibility conditions can be checked off-line. Backstepping method and Lyapunov analysis are employed to study the convergence properties of the designed controller.",

keywords = "Barrier function, Consensus, Input saturation, Multi-agent system, Nonlinear systems, State constraints",

author = "Junjie Fu and Guanghui Wen and Yuezu Lv and Tingwen Huang",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 26th International Conference on Neural Information Processing, ICONIP 2019 ; Conference date: 12-12-2019 Through 15-12-2019",

year = "2019",

doi = "10.1007/978-3-030-36711-4_41",

language = "English",

isbn = "9783030367107",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "492--503",

editor = "Tom Gedeon and Wong, {Kok Wai} and Minho Lee",

booktitle = "Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings",

address = "Germany",

}

Fu, J, Wen, G, Lv, Y & Huang, T 2019, Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. 在 T Gedeon, KW Wong & M Lee (编辑), Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 11954 LNCS, Springer, 页码 492-503, 26th International Conference on Neural Information Processing, ICONIP 2019, Sydney, 澳大利亚, 12/12/19. https://doi.org/10.1007/978-3-030-36711-4_41

Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. / Fu, Junjie; Wen, Guanghui; Lv, Yuezu 等.
Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. 编辑 / Tom Gedeon; Kok Wai Wong; Minho Lee. Springer, 2019. 页码 492-503 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 11954 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints

AU - Fu, Junjie

AU - Wen, Guanghui

AU - Lv, Yuezu

AU - Huang, Tingwen

PY - 2019

Y1 - 2019

N2 - Consensus control of a class of high-order nonlinear multi-agent systems subject to multiple state constraints and input saturation is studied in this work. Barrier functions are employed to design a distributed controller which achieves consensus without violating the state constraints and input saturation provided that some feasibility conditions on the initial states and controller parameters are satisfied. The feasibility conditions can be checked off-line. Backstepping method and Lyapunov analysis are employed to study the convergence properties of the designed controller.

AB - Consensus control of a class of high-order nonlinear multi-agent systems subject to multiple state constraints and input saturation is studied in this work. Barrier functions are employed to design a distributed controller which achieves consensus without violating the state constraints and input saturation provided that some feasibility conditions on the initial states and controller parameters are satisfied. The feasibility conditions can be checked off-line. Backstepping method and Lyapunov analysis are employed to study the convergence properties of the designed controller.

KW - Barrier function

KW - Consensus

KW - Input saturation

KW - Multi-agent system

KW - Nonlinear systems

KW - State constraints

UR - http://www.scopus.com/inward/record.url?scp=85076888371&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-36711-4_41

DO - 10.1007/978-3-030-36711-4_41

M3 - Conference contribution

AN - SCOPUS:85076888371

SN - 9783030367107

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 492

EP - 503

BT - Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings

A2 - Gedeon, Tom

A2 - Wong, Kok Wai

A2 - Lee, Minho

PB - Springer

T2 - 26th International Conference on Neural Information Processing, ICONIP 2019

Y2 - 12 December 2019 through 15 December 2019

ER -

Fu J, Wen G, Lv Y, Huang T. Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints. 在 Gedeon T, Wong KW, Lee M, 编辑, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Springer. 2019. 页码 492-503. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-36711-4_41

Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints

摘要

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