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Cited by 536

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Consensus control for a class of networks of dynamic agents

Xie, Guangming, Wang, Long·2007·International Journal of Robust and Nonlinear Control

Abstract

In this paper, the consensus problems for networks of dynamic agents are investigated. The agent dynamics is adopted as a typical point mass model based on the Newton's law. The average‐consensus problem is proposed for such class of networks, which includes two aspects, the agreement of the states of the agents and the convergence to zero of the speeds of the agents. A linear consensus protocol for such networks is established for solving such a consensus problem that includes two parts, a local speed feedback controller and the interactions from the finite neighbours. Two kinds of topology are discussed: one is fixed topology, the other is switching one. The convergence analysis is proved and the protocol performance is discussed as well. The simulation results are presented that are consistent with our theoretical results. Copyright © 2006 John Wiley & Sons, Ltd.

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Metadata

Authors
Xie, G., & Wang, L.
Venue
International Journal of Robust and Nonlinear Control
Publisher
Wiley
Published
2006-11-27
Volume
17
Issue
10-11
Pages
941-959
ISSN
  • 1049-8923 (ISSN-L)
  • 1099-1239
OpenAlex
W2149559996
Cited by
536
References
4
FWCI
28.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Consensus control for a class of networks of dynamic agents. https://app.cochat.ai/papers/10.1002/rnc.1144
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Xie, G., & Wang, L. (2007). Consensus control for a class of networks of dynamic agents. International Journal of Robust and Nonlinear Control. https://doi.org/10.1002/rnc.1144

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.