Results 21 to 30 of about 70,228 (184)
The Optimal Distributed Kalman Filtering Fusion With Linear Equality Constraint
IEEE Access, 2021 In this paper, the optimal distributed Kalman filtering fusion with linear equality constraint (LEC) is proposed. When the Kalman filter subject to LEC is applied in state estimation of distributed linear dynamic system, all local error covariance ...
Hua Li, Shengli Zhao
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Distributed Kalman Filtering Under Model Uncertainty [PDF]
IEEE Transactions on Control of Network Systems, 2020 We study the problem of distributed Kalman filtering for sensor networks in the presence of model uncertainty. More precisely, we assume that the actual state-space model belongs to a ball, in the Kullback-Leibler topology, about the nominal state-space model and whose radius reflects the mismatch modeling budget allowed for each time step.
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Distributed consensus strong tracking filter for wireless sensor networks with model mismatches
International Journal of Distributed Sensor Networks, 2017 A distributed consensus strong tracking filter is developed and investigated for the target tracking problems with model mismatches in wireless sensor networks.
Quansheng Liu, Chongpeng Huang, Li Peng
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Distributed Orbit Determination for Global Navigation Satellite System with Inter-Satellite Link
Sensors, 2019 To keep the global navigation satellite system functional during extreme conditions, it is a trend to employ autonomous navigation technology with inter-satellite link.
Yuanlan Wen +4 more
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IEEE Access, 2021 In this study, we present methods of optimization-based power system state estimation over sensor networks. By minimizing a composite loss function while ensuring that the state, disturbance, and measurement noise constraints are satisfied, the best or ...
Jinsung Kim +4 more
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Distributed Filter with Consensus Strategies for Sensor Networks
Journal of Applied Mathematics, 2013 Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is ...
Xie Li, Huang Caimou, Hu Haoji
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Robust Inference for State-Space Models with Skewed Measurement Noise [PDF]
, 2015 Filtering and smoothing algorithms for linear discrete-time state-space models with skewed and heavy-tailed measurement noise are presented. The algorithms use a variational Bayes approximation of the posterior distribution of models that have normal ...
Ardeshiri, Tohid +3 more
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IEEE Access, 2019 The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang +5 more
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Journal of Modern Power Systems and Clean Energy, 2023 Harmonic amplification phenomena could appear at the point of common connection (PCC) of the cable line terminal. However, the distributed parameter model of the cable line contains hyperbolic functions with plural variables, which makes it challenging ...
Yang Pu, Qin Shu, Fangwei Xu
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Distributed ensemble Kalman filtering
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 We address the problem of distributed filtering in a wireless sensor network and develop distributed approximations of three variants of the ensemble Kalman filter. We express the update equations in an alternative information form in order to formulate a distributed measurement update mechanism.
Arslan Shahid +2 more
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