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An Adaptive Robust Event-Triggered Variational Bayesian Filtering Method with Heavy-Tailed Noise. [PDF]

Sensors (Basel)
Deng D, Yi P, Xiong J.
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Distributed Kalman Filtering for Interconnected Dynamic Systems

IEEE Transactions on Cybernetics, 2022
This article is concerned with the distributed Kalman filtering problem for interconnected dynamic systems, where the local estimator of each subsystem is designed only by its own information and neighboring information. A decoupling strategy is developed to minimize the impact of interconnected terms on the estimation performance, and then the ...
Yuchen Zhang, Bo Chen, Li Yu, Daniel W. C. Ho   +3 more
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Distributed Kalman Filtering Through Trace Proximity

IEEE Transactions on Automatic Control, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Liu, Peng Shi, Shuoyu Wang
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Distributed fusion incremental Kalman filter

2018 Chinese Control And Decision Conference (CCDC), 2018
In the actual application process, the impact of the surrounding environment, the error of the observation device, and the improper parameter selection usually yield the system error. The incremental Kalman filter can effectively solve the state estimation problem for the systems under poor observation condition.
Mandi Wang, Guangming Yan, Xiaojun Sun
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Distributed Kalman Filter using fast polynomial filter

2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011
Distributed estimation algorithms have received a lot of attention in the past few years, particularly in the fusion framework of Wireless Sensor Network (WSN). Distributed Kalman Filter (DKF) for WSN is one of the most fundamental distributed estimation algorithms for scalable wireless sensor fusion.
A. Abdelgawad, M. Bayoumi
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The Hypothesizing Distributed Kalman Filter

2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012
This paper deals with distributed information processing in sensor networks. We propose the Hypothesizing Distributed Kalman Filter that incorporates an assumption of the global measurement model into the distributed estimation process. The procedure is based on the Distributed Kalman Filter and inherits its optimality when the assumption about the ...
Reinhardt, M., Noack, B., Hanebeck, U. D.   +2 more
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Proposed Distributed Kalman Filter

2012
In this chapter, the DKF problem is addressed by reducing it into a dynamic consensus problem in term of weighted average estimates matrix that can be viewed as data fusion problem. We have presented a Distributed Kalman Filter based on polynomial filter to accelerate the distributed average consensus in the static network topologies.
Ahmed Abdelgawad, Magdy Bayoumi
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Distributed Kalman Filtering With Adaptive Communication

IEEE Control Systems Letters
This work proposes an adaptive event-triggered communication framework for distributed state estimation in sensor networks, enabling each node to self-adapt its transmission rule while maintaining a desired average rate and complying with an upper bound on individual transmission rates.
Daniela Selvi, Giorgio Battistelli
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