A hyperparameter consensus method for agreement under uncertainty

DOI10.1016/j.automatica.2011.11.003zbMath1364.93018OpenAlexW2084360993WikidataQ60022230 ScholiaQ60022230MaRDI QIDQ1941262

Luca F. Bertuccelli, Cameron S. R. Fraser, Jonathan P. How, Han-Lim Choi

Publication date: 12 March 2013

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2011.11.003

zbMATH Keywords

conjugacyconsensusBayesian parameter estimationhyperparameternon-Gaussian uncertainty

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85) Decentralized systems (93A14)

Related Items (2)

Distributed Bayesian filtering using logarithmic opinion pool for dynamic sensor networks ⋮ Efficient distributed sensing using adaptive censoring-based inference

Uses Software

• BayesDA

Cites Work

• Unnamed Item
• Discrete-time dynamic average consensus
• Stochastic models, estimation, and control. Vol. 1
• Distributed algorithms for reaching consensus on general functions
• Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
• Consensus and Cooperation in Networked Multi-Agent Systems
• A Necessary and Sufficient Condition for Consensus Over Random Networks
• Coordination of groups of mobile autonomous agents using nearest neighbor rules
• Information Flow and Cooperative Control of Vehicle Formations
• Agreement over random networks
• Synchronization and Convergence of Linear Dynamics in Random Directed Networks

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