The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Average consensus problems in networks of agents with delayed communications
Open accessAbstract
The present paper is devoted to the study of average consensus problems for undirected networks of dynamic agents having communication delays. The accent is put here on the study of the time-delays influence: both constant and time-varying delays are considered, as well as uniform and non uniform repartitions of the delays in the network. The main results provide sufficient conditions (also necessary in most cases) for existence of average consensus under bounded, but otherwise unknown, communication delays. Simulations are provided that show adequation with these results.
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Cites
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Cited by
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
On Distributed Averaging Algorithms and Quantization Effects
Nedic, A., Olshevsky, A., Ozdaglar, A., & Tsitsiklis, J. N. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2009.2031203 · Cited by 557
Shen, B., Wang, Z., & Hung, Y. S. (2010) · Automatica · doi:10.1016/j.automatica.2010.06.025 · Cited by 490
Distributed consensus and optimization under communication delays
Tsianos, K. I., & Rabbat, M. G. (2011) · 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton) · doi:10.1109/allerton.2011.6120272 · Cited by 92
Metadata
- Authors
- Bliman, P.-A., & Ferrari-Trecate, G.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 44
- Issue
- 8
- Pages
- 1985-1995
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W2167260329
- Cited by
- 429
- References
- 19
- FWCI
- 50.48
- Type
- journal article
- Language
- en
- Open access
- green
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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.