An Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data

2019 ◽  
pp. 65-79
Author(s):  
Yan Tang ◽  
Zequan Guo ◽  
Yin Wu
Keyword(s):  
Kalman Filter ◽  
Prediction Model ◽  
Ocean Wave ◽  
Adaptive Kalman Filter ◽  
Wave Prediction

A Study on Applicability of Ensemble Kalman Filter for Wave Prediction Model

APAC 2019 ◽  
2019 ◽  
pp. 241-247
Author(s):  
K. Fujiwara ◽  
T. Arikawa ◽  
K. Seki
Keyword(s):  
Kalman Filter ◽  
Prediction Model ◽  
Ensemble Kalman Filter ◽  
Wave Prediction

Adaptive Kalman Filter Based Aircraft Ground Icing Thickness Prediction

2012 ◽  
Vol 562-564 ◽  
pp. 1660-1667
Author(s):  
Zhi Wei Xing ◽  
Hui Zhang ◽  
Zhun Ren
Keyword(s):  
Kalman Filter ◽  
Prediction Model ◽  
Prediction Method ◽  
Theory And Practice ◽  
Filter Method ◽  
Support Vector ◽  
Aircraft Icing ◽  
Adaptive Kalman Filter ◽  
Thickness Prediction ◽  
Kalman Filter Method

The nonlinear dynamics model is used to describe the change of aircraft icing thickness and icing deformation accelerations is viewed as dynamic noise in this paper. Then, a dynamic prediction model of aircraft icing thickness is established with the theory of adaptive kalman filter. And the adaptive kalman filter method based aircraft icing thickness prediction model is employed to forecast aircraft ground icing thickness and compared with support vector machine, BP neural network prediction method. The result of the instance simulation and analysis indicates that the adaptive kalman filter method based aircraft icing thickness prediction posed in this paper is reliable, simple and rapid, and the model has high prediction precision which can realize real-time tracking and prediction and has definite value of both theory and practice.

Fuzzy adaptive Kalman filter for the drive system with an elastic coupling

2013 ◽  
Vol 62 (2) ◽  
pp. 251-265 ◽  
Author(s):  
Piotr J. Serkies ◽  
Krzysztof Szabat
Keyword(s):  
Kalman Filter ◽  
Control Structure ◽  
Experimental Tests ◽  
Drive System ◽  
Adaptive Kalman Filter ◽  
State Matrix ◽  
State Controller ◽  
Kalman Gain ◽  
Robust Adaptive ◽  
Fuzzy Adaptive

Abstract In the paper issues related to the design of a robust adaptive fuzzy estimator for a drive system with a flexible joint is presented. The proposed estimator ensures variable Kalman gain (based on the Mahalanobis distance) as well as the estimation of the system parameters (based on the fuzzy system). The obtained value of the time constant of the load machine is used to change the values in the system state matrix and to retune the parameters of the state controller. The proposed control structure (fuzzy Kalman filter and adaptive state controller) is investigated in simulation and experimental tests.

scholarly journals A new adaptive Kalman filter for navigation systems of carrier-based aircraft

2021 ◽  
Author(s):  
Lifei Zhang ◽  
Shaoping Wang ◽  
Maria Sergeevna Selezneva ◽  
Konstantin Avenirovich Neysipin
Keyword(s):  
Kalman Filter ◽  
Navigation Systems ◽  
Adaptive Kalman Filter
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