Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs

Shimin WANG; Jie HUANG

doi:10.1007/978-3-030-22808-8_3

Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs

Shimin WANG
, Jie HUANG^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

Recently, an adaptive distributed observer for a class of uncertain leader systems was established over undirected connected graphs. In this paper, we further study the same problem over directed connected graphs. It is shown that, if the graph is acyclic, then an adaptive distributed observer exists in the sense that it can not only estimate the leader’s state, but also the unknown parameters of the leader’s system matrix exponentially.

Original language	English
Title of host publication	Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings
Editors	Huchuan LU, Huajin TANG, Zhanshan WANG
Publisher	Springer, Cham
Pages	25-34
Number of pages	10
ISBN (Electronic)	9783030228088
ISBN (Print)	9783030228071
DOIs	https://doi.org/10.1007/978-3-030-22808-8_3
Publication status	Published - 2019
Externally published	Yes
Event	16th International Symposium on Neural Networks, ISNN 2019 - Moscow, Russian Federation Duration: 10 Jul 2019 → 12 Jul 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11555 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Symposium on Neural Networks, ISNN 2019
Country/Territory	Russian Federation
City	Moscow
Period	10/07/19 → 12/07/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Funding

This work has been supported in part by the Research Grants Council of the Hong Kong Special Administration Region under grant No. 14201418 and in part by Projects of Major International (Regional) Joint Research Program NSFC (Grant no. 61720106011).

Keywords

Consensus
Distributed observer
Leader-following
Multi-agent systems
Uncertain leader

Access to Document

10.1007/978-3-030-22808-8_3

Cite this

WANG, S., & HUANG, J. (2019). Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs. In H. LU, H. TANG, & Z. WANG (Eds.), Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings (pp. 25-34). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11555 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-22808-8_3

WANG, Shimin ; HUANG, Jie. / Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs. Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. editor / Huchuan LU ; Huajin TANG ; Zhanshan WANG. Springer, Cham, 2019. pp. 25-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Recently, an adaptive distributed observer for a class of uncertain leader systems was established over undirected connected graphs. In this paper, we further study the same problem over directed connected graphs. It is shown that, if the graph is acyclic, then an adaptive distributed observer exists in the sense that it can not only estimate the leader{\textquoteright}s state, but also the unknown parameters of the leader{\textquoteright}s system matrix exponentially.",

keywords = "Consensus, Distributed observer, Leader-following, Multi-agent systems, Uncertain leader",

author = "Shimin WANG and Jie HUANG",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 16th International Symposium on Neural Networks, ISNN 2019 ; Conference date: 10-07-2019 Through 12-07-2019",

year = "2019",

doi = "10.1007/978-3-030-22808-8\_3",

language = "English",

isbn = "9783030228071",

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

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editor = "Huchuan LU and Huajin TANG and Zhanshan WANG",

booktitle = "Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings",

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WANG, S & HUANG, J 2019, Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs. in H LU, H TANG & Z WANG (eds), Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11555 LNCS, Springer, Cham, pp. 25-34, 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russian Federation, 10/07/19. https://doi.org/10.1007/978-3-030-22808-8_3

Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs. / WANG, Shimin; HUANG, Jie.
Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. ed. / Huchuan LU; Huajin TANG; Zhanshan WANG. Springer, Cham, 2019. p. 25-34 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11555 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AB - Recently, an adaptive distributed observer for a class of uncertain leader systems was established over undirected connected graphs. In this paper, we further study the same problem over directed connected graphs. It is shown that, if the graph is acyclic, then an adaptive distributed observer exists in the sense that it can not only estimate the leader’s state, but also the unknown parameters of the leader’s system matrix exponentially.

KW - Consensus

KW - Distributed observer

KW - Leader-following

KW - Multi-agent systems

KW - Uncertain leader

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WANG S, HUANG J. Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs. In LU H, TANG H, WANG Z, editors, Advances in Neural Networks : ISNN 2019 : 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. Springer, Cham. 2019. p. 25-34. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Jun 26. doi: 10.1007/978-3-030-22808-8_3

Adaptive Distributed Observer for an Uncertain Leader over Directed Acyclic Graphs

Abstract

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Keywords

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