The Approach of <italic>k</italic>-Leader Selection in Undirected Graphs on Maximizing the Consensus Convergence Rate

The Approach of <italic>k</italic>-Leader Selection in Undirected Graphs on Maximizing the Consensus Convergence Rate

This paper undertakes an in-depth study and detailed analysis of the problem of the optimal selection of k leaders for a first-order leader-follower multi-agent system (MAS) whose interaction topology is an undirected graph, with the aim of achieving the maximum consensus convergence rate. The conse...

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Bibliographic Details
Main Authors: Shanshan Gao, Chao Ping, Xinzhuang Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Leader-follower multi-agent systems
leader-induced diameter
algebraic connectivity
consensus convergence rate
metric k-center problem
Online Access:https://ieeexplore.ieee.org/document/10750199/
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