Prescribed Time Consensus Control of Multiagent Systems with Minimized Time-Varying Cost Function

Qian CUI; Yongduan SONG; Changyun WEN

doi:10.1109/TAC.2023.3338748

Prescribed Time Consensus Control of Multiagent Systems with Minimized Time-Varying Cost Function

Qian CUI
, Yongduan SONG
, Changyun WEN^*

^*Corresponding author for this work

Research output: Journal Publications › Journal Article (refereed) › peer-review

37 Citations (Scopus)

Abstract

In this note, a fully distributed and prescribed-time control approach is developed to achieve consensus for multiple agent systems under certain optimal constraints. By virtue of local gradient information, a new estimator is first constructed to acquire global gradient information. Based on the well-known result on fixed-time control, a novel prescribed time lemma is derived by specifying certain design parameters properly, with which the three objectives, consensus, estimation, and optimization, are achieved within the prescribed time irrespective of initial states or any other design parameters. The benefits and effectiveness are verified by numerical simulation.

Original language	English
Pages (from-to)	3381-3388
Number of pages	8
Journal	IEEE Transactions on Automatic Control
Volume	69
Issue number	5
Early online date	4 Dec 2023
DOIs	https://doi.org/10.1109/TAC.2023.3338748
Publication status	Published - May 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Funding

This work was supported in part by the National Natural Science Foundation of China under Grant 61860206008, Grant 61773081, Grant 61933012, and Grant 61833013.

Keywords

Distributed estimator
multiagent systems
prescribed-time control
time-varying optimization

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10.1109/TAC.2023.3338748

Cite this

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title = "Prescribed Time Consensus Control of Multiagent Systems with Minimized Time-Varying Cost Function",

abstract = "In this note, a fully distributed and prescribed-time control approach is developed to achieve consensus for multiple agent systems under certain optimal constraints. By virtue of local gradient information, a new estimator is first constructed to acquire global gradient information. Based on the well-known result on fixed-time control, a novel prescribed time lemma is derived by specifying certain design parameters properly, with which the three objectives, consensus, estimation, and optimization, are achieved within the prescribed time irrespective of initial states or any other design parameters. The benefits and effectiveness are verified by numerical simulation.",

keywords = "Distributed estimator, multiagent systems, prescribed-time control, time-varying optimization",

author = "Qian CUI and Yongduan SONG and Changyun WEN",

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AU - SONG, Yongduan

AU - WEN, Changyun

PY - 2024/5

Y1 - 2024/5

N2 - In this note, a fully distributed and prescribed-time control approach is developed to achieve consensus for multiple agent systems under certain optimal constraints. By virtue of local gradient information, a new estimator is first constructed to acquire global gradient information. Based on the well-known result on fixed-time control, a novel prescribed time lemma is derived by specifying certain design parameters properly, with which the three objectives, consensus, estimation, and optimization, are achieved within the prescribed time irrespective of initial states or any other design parameters. The benefits and effectiveness are verified by numerical simulation.

AB - In this note, a fully distributed and prescribed-time control approach is developed to achieve consensus for multiple agent systems under certain optimal constraints. By virtue of local gradient information, a new estimator is first constructed to acquire global gradient information. Based on the well-known result on fixed-time control, a novel prescribed time lemma is derived by specifying certain design parameters properly, with which the three objectives, consensus, estimation, and optimization, are achieved within the prescribed time irrespective of initial states or any other design parameters. The benefits and effectiveness are verified by numerical simulation.

KW - Distributed estimator

KW - multiagent systems

KW - prescribed-time control

KW - time-varying optimization

UR - https://www.scopus.com/pages/publications/85179814398

U2 - 10.1109/TAC.2023.3338748

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M3 - Journal Article (refereed)

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SN - 0018-9286

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EP - 3388

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

IS - 5

ER -

Prescribed Time Consensus Control of Multiagent Systems with Minimized Time-Varying Cost Function

Abstract

Bibliographical note

Funding

Keywords

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