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Article . 2024
License: CC BY
Data sources: Datacite; ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Prescribed-Time Formation Bipartite Containment of Layered Multi-agent Systems

Authors: Huang, Kaiyin; Li, Tao; Tian, Jialong; Jiang, Zijie;

Prescribed-Time Formation Bipartite Containment of Layered Multi-agent Systems

Abstract

This paper aims to address the problem of prescribed-time formation bipartite containment for two-layered MASs (multi-agent systems). In this system, the leader layer engages in a purely cooperative relationship, while the follower layer engages in both cooperation and competition. Moreover, there exists a restraining relationship between the leader layer and corresponding follower layer. By introducing a time-varying function, this paper presents a novel prescribed-time distributed control protocol. The protocol is designed to drive all the leaders to form a formation within a specified time, while the followers simultaneously converge into the convex hulls formed by the states as well as the sign-inverted states of the leaders. Using Lyapunov stability theory, linear matrix inequality, the paper obtains the sufficient conditions for MASs to converge in a specified time and the stability about control algorithm is discussed in detail. Finally, a numerical simulation example is performed to verify the effectiveness of the presented theory.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green