Unscented summation information‐weighted consensus filter for distributed sensor networks with incomplete information

DOI10.1002/ACS.3012zbMath1425.93277OpenAlexW2954924492WikidataQ127739865 ScholiaQ127739865MaRDI QIDQ5240997

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Publication date: 29 October 2019

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.3012

zbMATH Keywords

target trackingconsensusinformation fusiondistributed estimationunscented filter

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Stability of control systems (93D99)

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State observer for delayed gene regulatory networks with coupled cyclic-central structure

Cites Work

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• Distributed Kalman Filtering and Sensor Fusion in Sensor Networks
• Average information‐weighted consensus filter for target tracking in distributed sensor networks with naivety issues
• Consensus and Cooperation in Networked Multi-Agent Systems
• Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
• Consensus seeking in multiagent systems under dynamically changing interaction topologies
• Distributed multi‐vehicle coordinated control via local information exchange
• Consensus-Based Distributed Multiple Model UKF for Jump Markov Nonlinear Systems
• Information Weighted Consensus Filters and Their Application in Distributed Camera Networks

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