Results 1 to 10 of about 6,493 (164)
Distributed nonlinear Kalman filter with communication protocol [PDF]
Information Sciences, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hilton Tnunay +2 more
exaly +4 more sources
Sample greedy gossip distributed Kalman filter
Information Fusion, 2020 Abstract This paper investigates the problem of distributed state estimation over a low-cost sensor network and proposes a new sample greedy gossip distributed Kalman filter. The proposed algorithm leverages the information weighted fusion concept and the sample greedy gossip averaging protocol.
Hyo-Sang Shin +2 more
exaly +5 more sources
Distributed Kalman filter in a network of linear systems
Systems and Control Letters, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Damian Marelli +2 more
exaly +4 more sources
IEEE Access, 2021 With the rising number of applications for sensor networks comes a need for more accurate cooperative fusion algorithms. In this paper, a distributed and optimal state estimator is presented for implementation through a dynamically switching, yet ...
Matthew D. Howard, Zhihua Qu
doaj +1 more source
IEEE Access, 2021 We present an approach which combines the sample regenerating particle filter (SRGPF) and unequal weight ensemble Kalman filter (UwEnKF) to obtain a more accurate forecast for nonlinear dynamic systems.
Xiao Li, Ai Jie Cheng, Hai Xiang Lin
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Applied Sciences, 2023 For nonlinear systems, both the cubature Kalman filter (CKF) and square-root cubature Kalman filter (SCKF) can get good estimation performance under Gaussian noise. However, the actual driving environment noise mostly has non-Gaussian properties, leading
Pingshu Ge +4 more
doaj +1 more source
Distributed receding horizon Kalman filter [PDF]
49th IEEE Conference on Decision and Control (CDC), 2010 In this paper a distributed version of the Kalman filter is proposed. In particular, the estimation problem is reduced to the optimization of a cost function that depends on the system dynamics and the latest output measurements and state estimates which is distributed among the local subsystems by means of dual decomposition.
Jose Maria Maestre 0001 +2 more
openaire +2 more sources
Distributed Kalman estimation with decoupled local filters [PDF]
Automatica, 2021 We study a distributed Kalman filtering problem in which a number of nodes cooperate without central coordination to estimate a common state based on local measurements and data received from neighbors. This is typically done by running a local filter at each node using information obtained through some procedure for fusing data across the network.
Marelli, Damian, Sui, Tianju, Fu, Minyue
openaire +4 more sources
Sensors, 2023 In the distributed information fusion of wireless sensor networks (WSNs), the filtering accuracy is commonly negatively correlated with energy consumption.
Chunxi Yang +3 more
doaj +1 more source
Electric Vehicle State Parameter Estimation Based on DICI-GFCKF
IEEE Access, 2022 To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed.
Zhang Rongyun +5 more
doaj +1 more source