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Convergence and asymptotic agreement in distributed decision problems
Abstract
We consider a distributed team decision problem in which different agents obtain from the environment different stochastic measurements, possibly at different random times, related to the same uncertain random vector. Each agent has the same objective function and prior probability distribution. We assume that each agent can compute an optimal tentative decision based upon his own observation and that these tentative decisions are communicated and received, possibly at random times, by a subset of other agents. Conditions for asymptotic convergence of each agent's decison sequence and asymptotic agreement of all agents' decisions are derived.
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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
Control and Communication Challenges in Networked Real-Time Systems
Baillieul, J., & Antsaklis, P. J. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887290 · Cited by 924
Xiao, F., & Wang, L. (2008) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.929381 · Cited by 734
Incremental Adaptive Strategies Over Distributed Networks
Lopes, C. G., & Sayed, A. H. (2007) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.896034 · Cited by 732
Sayed, A. H. (2014) · Proceedings of the IEEE · doi:10.1109/jproc.2014.2306253 · Cited by 587
Metadata
- Authors
- Tsitsiklis, J., & Athans, M.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1984-01
- Volume
- 29
- Issue
- 1
- Pages
- 42-50
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2167919134
- Cited by
- 247
- References
- 0
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Tsitsiklis, J., & Athans, M. (1984). Convergence and asymptotic agreement in distributed decision problems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.1984.1103385
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