Research on Finite-time Consensus of Multi-agent Systems


Lijun Chen, Yu Zhang, Yuping Li, Linlin Xia, Journal of Information Processing Systems Vol. 15, No. 2, pp. 251-260, Apr. 2019

10.3745/JIPS.01.0039
Keywords: Finite-Time Consensus, Convergence Speed, Leader-Following, MAS
Fulltext:

Abstract

In order to ensure second-order multi-agent systems (MAS) realizing consensus more quickly in a limited time, a new protocol is proposed. In this new protocol, the gradient algorithm of the overall cost function is introduced in the original protocol to enhance the connection between adjacent agents and improve the moving speed of each agent in the MAS. Utilizing Lyapunov stability theory, graph theory and homogeneity theory, sufficient conditions and detailed proof for achieving a finite-time consensus of the MAS are given. Finally, MAS with three following agents and one leading agent is simulated. Moreover, the simulation results indicated that this new protocol could make the system more stable, more robust and convergence faster when compared with other protocols.


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Cite this article
[APA Style]
Lijun Chen, Yu Zhang, Yuping Li, & Linlin Xia (2019). Research on Finite-time Consensus of Multi-agent Systems. Journal of Information Processing Systems, 15(2), 251-260. DOI: 10.3745/JIPS.01.0039.

[IEEE Style]
L. Chen, Y. Zhang, Y. Li and L. Xia, "Research on Finite-time Consensus of Multi-agent Systems," Journal of Information Processing Systems, vol. 15, no. 2, pp. 251-260, 2019. DOI: 10.3745/JIPS.01.0039.

[ACM Style]
Lijun Chen, Yu Zhang, Yuping Li, and Linlin Xia. 2019. Research on Finite-time Consensus of Multi-agent Systems. Journal of Information Processing Systems, 15, 2, (2019), 251-260. DOI: 10.3745/JIPS.01.0039.