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Article . 2020 . Peer-reviewed
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Nonlinear Merging Consensus for Multi-Agent Systems on Directed and Weighted Signed Graph

Authors: Shasha Feng; Zijian Chen; Qunsheng Guan; Chengyi Xia;

Nonlinear Merging Consensus for Multi-Agent Systems on Directed and Weighted Signed Graph

Abstract

This paper settles the nonlinear merging consensus for multi-agent systems on a directed and weighted signed network. A novel nonlinear merging control protocol is proposed to drive the states of all agents to arrive at the same state. To be consistent with the reality, the interactions among agents can be either cooperative or competitive and the information flow is considered to be directed. Particularly, the protocol can still ensure the states of all agents to reach an agreement, even though the corresponding directed network is not strongly connected. Besides, to guarantee the efficiency of multi-agent systems, the convergence rate of agents can be sped up by adjusting the parameter of the protocol. Finally, the theoretical analysis and simulation results are provided to verify the effectiveness of this protocol. The current results are instructive for us to comprehend and design an efficient consensus protocol within multi-agent systems.

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Keywords

signed graph, weighted and directed network, multi-agent systems, Electrical engineering. Electronics. Nuclear engineering, Nonlinear merging consensus, TK1-9971

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selected citations
These citations are derived from selected sources.
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!
1
Average
Average
Average
gold