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Kalman filter and extended Kalman filter

2017
In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
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Fractional Kalman filters

Automatica
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xusheng Yang   +2 more
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Adaptive Kalman Filter (ROSE Filter)

2017
Um das Kalman-Filter optimal zu nutzen, ist es von groserWichtigkeit, die Kovarianz des Messrauschens \( \underline{R} \left( k \right) \) und des Systemrauschen \( \underline{Q} \left( k \right) \) moglichst exakt zu bestimmen. Erst durch eine exakte Bestimmung der beiden Kovarianzen ist es moglich, eine optimale Zustandsschatzung und eine korrekte ...
Reiner Marchthaler, Sebastian Dingler
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Kalman and Particle Filtering

2008
The Kalman and particle filters are algorithms that recursively update an estimate of the state and find the innovations driving a stochastic process given a sequence of observations. The Kalman filter accomplishes this goal by linear projections, while the particle filter does so by a sequential Monte Carlo method.
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The kalman filter

The Mathematical Intelligencer, 1978
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A Class of Nonlinear Kalman Filters Under a Generalized Measurement Model With False Data Injection Attacks

IEEE Signal Processing Letters, 2022
Shiyuan Wang   +2 more
exaly  

Self-Tuning of Kalman Filters for Harmonic Computation

IEEE Transactions on Power Delivery, 2006
A G Exposito
exaly  

Interpolatory cubature Kalman filters

IET Control Theory and Applications, 2015
Ning Li, Yulong Huang, Lin Zhao
exaly  

Deep Kalman Filters Can Filter

SSRN Electronic Journal, 2023
Blanka Hovart   +3 more
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