Results 111 to 120 of about 792 (163)

Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]

Sensors (Basel)
Chebbi A, Franchek MA, Grigoriadis K.
europepmc   +1 more source

Multimodal medical image reconstruction and organ-wise disease classification using a hybrid deep learning-Kalman filtering framework. [PDF]

Front Med (Lausanne)
Arif S.
europepmc   +1 more source

State estimator and convolutional neural networks-based fault localization approach for modern grids. [PDF]

Sci Rep
Bhutto JA, Chauhdary ST, Arif S, Niaz A, Alnamasi K, Moinuddin SQ, Alsenan S, Khan MA.   +7 more
europepmc   +1 more source

Safe-RTSKF: A Safety-Constrained Recursive Two-Stage Kalman Filter for Robust Sensor State Estimation in Strongly Nonlinear Systems. [PDF]

Sensors (Basel)
Lin Y, Liu Z, Wen C, Ye K, Jeong YK, Zhou S, Zheng X.   +6 more
europepmc   +1 more source

Evaluation of advanced Kalman filter on real-time agricultural soil parameters through an IoT resources-constrained device. [PDF]

Sci Rep
Armando EJ, Hanyurwimfura D, Gatera O, Gatera O, Kim KS, Nduwumuremyi A.   +5 more
europepmc   +1 more source

The Labeled Square Root Cubature Information GM-PHD Approach for Multi Extended Targets Tracking. [PDF]

Sensors (Basel)
Liu Z, Zhang S, Yang Z, Qu X, An J.
europepmc   +1 more source

Strong tracking dimensionality-reduction CKF algorithm for SINS initial alignment under large misalignment angle. [PDF]

Sci Rep
Yang Y, Li D, Fu Y, Xu K.
europepmc   +1 more source

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The Cubature Kalman Filter revisited

Automatica, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leopoldo Acosta Sanchez
exaly   +2 more sources

High-degree cubature Kalman filter

Automatica, 2013
The cubature Kalman filter (CKF), which is based on the third degree spherical-radial cubature rule, is numerically more stable than the unscented Kalman filter (UKF) but less accurate than the Gauss-Hermite quadrature filter (GHQF). To improve the performance of the CKF, a new class of CKFs with arbitrary degrees of accuracy in computing the spherical
, Ming Xin, Bin Jia
exaly   +2 more sources

An Efficient Gauss-Seidel Cubature Kalman Filter

IEEE Transactions on Circuits and Systems II: Express Briefs, 2022
The Cubature Kalman filter (CKF) is a widely used filter with excellent performance, particularly on large non-linear systems. However, the CKF is computationally challenging to implement. The matrix inversion operation increases the computational burden if exact inversion methods, such as the Cholesky decomposition, are used.
Qingwen Meng, Xuyou Li, Yanda Guo
openaire   +1 more source