The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
Open accessAbstract
This paper reviews some main results and progress in distributed multi-agent coordination, focusing on papers published in major control systems and robotics journals since 2006. Distributed coordination of multiple vehicles, including unmanned aerial vehicles, unmanned ground vehicles, and unmanned underwater vehicles, has been a very active research subject studied extensively by the systems and control community. The recent results in this area are categorized into several directions, such as consensus, formation control, optimization, and estimation. After the review, a short discussion section is included to summarize the existing research and to propose several promising research directions along with some open problems that are deemed important for further investigations.
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Citations
Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788 · cited 3×
“Motivated by the observation that the smallest nonzero eigenvalue of the Laplacian matrix, , determines the worst-case convergence speed [8], research has been conducted to maximize the convergence speed [104], [105] by choosing optimal weights associated with edges.”
BackgroundInfluentialConsensus 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 · cited 1×
“Distributed formation refers to the group behavior that all the agents form a pre-designed geometrical configuration through local interactions with or without a common reference.”
BackgroundCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Distributed Subgradient Methods for Multi-Agent Optimization
Nedic, A., & Ozdaglar, A. (2009) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.2009515 · Cited by 3,719
Graph Theoretic Methods in Multiagent Networks
Mesbahi, M., & Egerstedt, M. (2010) · Princeton University Press eBooks · doi:10.1515/9781400835355 · Cited by 2,897
Distributed Consensus in Multi-vehicle Cooperative Control
Ren, W., & Beard, R. W. (2008) · Communications and Control Engineering · doi:10.1007/978-1-84800-015-5 · Cited by 2,826
Self-citationDistributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1986.1104412 · Cited by 1,967
Distributed optimization in sensor networks
Rabbat, M., & Nowak, R. (2004) · Proceedings of the 3rd international symposium on Information processing in sensor networks · doi:10.1145/984622.984626 · Cited by 901
Distributed Subgradient Methods for Convex Optimization Over Random Networks
Lobel, I., & Ozdaglar, A. (2011) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2091295 · Cited by 351
Cited by
Counterfactual Multi-Agent Policy Gradients
Foerster, J., Farquhar, G., Afouras, T., Nardelli, N., & Whiteson, S. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.11794 · Cited by 1,873
Multi-agent deep reinforcement learning: a survey
Gronauer, S., & Diepold, K. (2022) · Artificial Intelligence Review · doi:10.1007/s10462-021-09996-w · Cited by 957
On the Convergence of Decentralized Gradient Descent
Yuan, K., Ling, Q., & Yin, W. (2013) · arXiv · doi:10.48550/arxiv.1310.7063 · Cited by 635
He, W., Qian, F., Lam, J., Chen, G., Han, Q.-L., & Kurths, J. (2015) · Automatica · doi:10.1016/j.automatica.2015.09.028 · Cited by 429
Self-citationFixed-Time Leader-Following Consensus for Second-Order Multiagent Systems With Input Delay
Ni, J., Liu, L., Liu, C., & Liu, J. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2701775 · Cited by 328
Metadata
- Authors
- Cao, Y., Yu, W., Ren, W., & Chen, G.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2013-02
- Volume
- 9
- Issue
- 1
- Pages
- 427-438
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2012812921
- Cited by
- 2,399
- References
- 9
- FWCI
- 143.49
- Type
- journal article
- Language
- en
- Open access
- green
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- Cao, Y., Yu, W., Ren, W., & Chen, G. (2013). An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2012.2219061
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