Results 31 to 40 of about 48,416 (251)
Discrete Dynamics in Nature and Society, 2015 This paper is concerned with the optimal Kalman filtering problem for a class of discrete stochastic systems with multiplicative noises and random two-step sensor delays.
Dongyan Chen +3 more
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Distributed sensor fusion estimation algorithms based on Kalman Filtering [PDF]
ITM Web of ConferencesEfficient distributed sensor fusion is critical for reliable state estimation in applications such as autonomous vehicles, robotics, and environmental monitoring.
Ni Si
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Development of a Robust UFIR Filter with Consensus on Estimates for Missing Data and unknown noise statistics over WSNs [PDF]
MATEC Web of Conferences, 2019 Wireless sensor networks (WSN) are often deployed in harsh environments, where electromagnetic interference, damaged sensors, or the landscape itself cause the network to suffer from faulty links and missing data.
Vazquez-Olguin Miguel +2 more
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Distributed estimation through randomized gossip Kalman filter [PDF]
Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, 2009 In this paper we consider the problem of estimating a random process from noisy measurements, collected by a sensor network. We analyze a distributed two-stage algorithm. The first stage is a Kalman-like estimate update, in which each agent makes use only of its own measurements.
DEL FAVERO, SIMONE, ZAMPIERI, SANDRO
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Distributed Kalman filter via Gaussian Belief Propagation [PDF]
2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008 8 pages, 3 figures, appeared in the 46th Annual Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, Sept ...
Bickson, Danny +2 more
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Recent advances on filtering and control for nonlinear stochastic complex systems with incomplete information: A survey [PDF]
, 2012 This Article is provided by the Brunel Open Access Publishing Fund - Copyright @ 2012 Hindawi PublishingSome recent advances on the filtering and control problems for nonlinear stochastic complex systems with incomplete information are surveyed.
Liang, J, Liu, Y, Shen, B, Wang, Z
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Transform-based particle filtering for elliptic Bayesian inverse problems [PDF]
, 2019 We introduce optimal transport based resampling in adaptive SMC. We consider elliptic inverse problems of inferring hydraulic conductivity from pressure measurements.
Dubinkina, Svetlana +2 more
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Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks
Discrete Dynamics in Nature and Society, 2018 This paper investigates the distributed filtering for discrete-time-invariant systems in sensor networks where each sensor’s measuring system may not be observable, and each sensor can just obtain partial system parameters with unknown coefficients which
Donghua Chen +3 more
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Derivation of a Kalman-type filter for linear systems with pointwise delay in signal noise
Boundary Value Problems, 2022 Recently, it was demonstrated that a modification of the Kalman-filtering model with a pointwise delay of the signal noise could improve communication with considerably distanced spacecraft.
Kinda Abuasbeh, Agamirza E. Bashirov
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, 2006 Smoothing is essential to many oceanographic, meteorological and hydrological applications. The interval smoothing problem updates all desired states within a time interval using all available observations.
A Gelb +17 more
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