Results 41 to 50 of about 1,778,758 (298)
Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment
Discrete Dynamics in Nature and Society, 2016 The transfer alignment (TA) scheme is used for the initial alignment of Inertial Navigation System (INS) on dynamical base. The Kalman filter is often used in TA to improve the precision of TA.
Lijun Song, Zhongxing Duan, Jiwu Sun
doaj +1 more source
Generalized Nonlinear Complementary Attitude Filter
, 2011 This work describes a family of attitude estimators that are based on a generalization of Mahony's nonlinear complementary filter. This generalization reveals the close mathematical relationship between the nonlinear complementary filter and the more ...
Jensen, Kenneth
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The Salted Kalman Filter: Kalman filtering on hybrid dynamical systems
Automatica, 2021 Many state estimation and control algorithms require knowledge of how probability distributions propagate through dynamical systems. However, despite hybrid dynamical systems becoming increasingly important in many fields, there has been little work on utilizing the knowledge of how probability distributions map through hybrid transitions.
Kong, Nathan J. +3 more
openaire +2 more sources
IEEE Transactions on Smart Grid, 2019 Due to the communication channel noises, GPS synchronization process, changing environment temperature and different operating conditions of the system, the statistics of the system process and measurement noises may be unknown and they may not follow ...
Junbo Zhao, L. Mili
semanticscholar +1 more source
Extending the practical applicability of the Kalman Filter [PDF]
arXiv, 2022 A Schmidt filter is a modification of the Kalman filter that allows to append system parameters as states and considers their uncertainty effect in the filtering process without attempting to estimate such parameters. The states that are only considered but not estimated, are generally known as \textit{consider} or \textit{considered} states.
arxiv
Introduction to Kalman Filter and Its Applications
Introduction and Implementations of the Kalman Filter, 2018 We provide a tutorial-like description of Kalman filter and extended Kalman filter. This chapter aims for those who need to teach Kalman filters to others, or for those who do not have a strong background in estimation theory.
Youngjoo Kim, H. Bang
semanticscholar +1 more source
Analysis of the Ensemble Kalman Filter for Inverse Problems [PDF]
SIAM Journal on Numerical Analysis, 2016 The ensemble Kalman filter (EnKF) is a widely used methodology for state estimation in partial, noisily observed dynamical systems, and for parameter estimation in inverse problems.
C. Schillings, A. Stuart
semanticscholar +1 more source
, 2011 We consider the problem of an ensemble Kalman filter when only partial observations are available. In particular we consider the situation where the observational space consists of variables which are directly observable with known observational error ...
Gottwald, Georg A. +2 more
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IEEE Transactions on Smart Grid, 2019 The widely used traditional Kalman filter-type power system dynamic state estimator is unable to address the unknown and non-Gaussian system process and measurement noise as well as dynamical model uncertainties.
Junbo Zhao, L. Mili
semanticscholar +1 more source
IMPLEMENTASI DAN PENGUJIAN ALGORITMA PARALLEL KALMAN FILTER PADA PLATFORM KOMPUTER MULTICORE
Komputika, 2021 Kalman filter merupakan algoritma penting dalam dunia pemrograman yang penggunaannya sangat luas. Dari mulai penggunaan pada pemrosesan gambar hingga ke kontrol navigasi pesawat terbang.
Arkan Muhammad Irsyad Sadeli
doaj