Results 1 to 10 of about 186,344 (275)

A Novel Adaptive Extended Kalman Filtering and Electrochemical-Circuit Combined Modeling Method for the Online Ternary Battery state-of-charge Estimation

International Journal of Electrochemical Science, 2020
Lithium-ion batteries are used more and more extensively, and the state-of-charge estimation of lithium-ion batteries is essential for their efficient and reliable operation.
Cong Jiang, Shunli Wang, Bin Wu, Bobobee Etse-Dabu, Xin Xiong   +4 more
doaj   +1 more source

Robust adaptive cubature Kalman filter for tracking manoeuvring target by wireless sensor network under noisy environment

IET Radar, Sonar & Navigation, 2023
The existing adaptive Kalman filters for tracking manoeuvring targets by wireless sensor networks can easily lose robustness when both the measurement and process noises are unknown and time‐varying, resulting in large positioning errors.
Xuming Fang, Dandan Huang
doaj   +1 more source

A Unification of Ensemble Square Root Kalman Filters [PDF]

, 2012
In recent years, several ensemble-based Kalman filter algorithms have been developed that have been classified as ensemble square-root Kalman filters.
Hiller, Wolfgang, Janjic Pfander, Tijana, Nerger, Lars, Schröter, Jens   +3 more
core   +1 more source

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

A comparison of assimilation results from the ensemble Kalman Filter and a reduced-rank extended Kalman Filter [PDF]

Nonlinear Processes in Geophysics, 2003
The goal of this study is to compare the performances of the ensemble Kalman filter and a reduced-rank extended Kalman filter when applied to different dynamic regimes.
X. Zang, P. Malanotte-Rizzoli
doaj  

On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters

, 2018
Kalman filter is a key tool for time-series forecasting and analysis. We show that the dependence of a prediction of Kalman filter on the past is decaying exponentially, whenever the process noise is non-degenerate.
Kozdoba, Mark, Mannor, Shie, Marecek, Jakub, Tchrakian, Tigran   +3 more
core   +1 more source

Robust Kalman Filtering [PDF]

, 2000
As already pointed out in Hardle, Klinke, and Muller (2000, Chapter 10), state-space models are very useful and flexible in the sense that various recursive methods for time-dependent situations can be formulated as general solutions of filtering, smoothing and prediction problems in state-space models.
openaire   +3 more sources

On the Relation Between Smooth Variable Structure and Adaptive Kalman Filter

Frontiers in Applied Mathematics and Statistics, 2020
This article is addressed to the topic of robust state estimation of uncertain nonlinear systems. In particular, the smooth variable structure filter (SVSF) and its relation to the Kalman filter is studied.
Mark Spiller, Dirk Söffker
doaj   +1 more source

Study of the Effectiveness of Different Kalman Filtering Methods and Smoothers in Object Tracking Based on Simulation Tests

Reports on Geodesy and Geoinformatics, 2015
In navigation practice, there are various navigational architecture and integration strategies of measuring instruments that affect the choice of the Kalman filtering algorithm.
Malinowski Marcin, Kwiecień Janusz
doaj   +1 more source

Target Tracking in Non-Gaussian Environment [PDF]

, 2006
Masreliez filter which is a Kalman type of recursive filter is implemented and validated. The main computation in Masreliez filter is to evaluate the score function which directly influences the estimates of the target states.
Kashyap, SK, Shantha Kumar, N
core   +1 more source