Underwater navigation with 2D forward looking SONAR: An adaptive unscented Kalman filter‐based strategy for AUVs
One of the most significant challenges in the underwater domain is to retrieve the
autonomous underwater vehicle (AUV) position within the surrounding environment. Indeed …
autonomous underwater vehicle (AUV) position within the surrounding environment. Indeed …
[HTML][HTML] Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring
Availability of measurements of key process variables is of great importance to allow real
time monitoring and control applications. However, in microbial fermentation processes, the …
time monitoring and control applications. However, in microbial fermentation processes, the …
An AEKF-SLAM algorithm with recursive noise statistic based on MLE and EM
Abstract Extended Kalman Filter (EKF) has been popularly utilized for solving Simultaneous
Localization and Mapping (SLAM) problem. Essentially, it requires the accurate system …
Localization and Mapping (SLAM) problem. Essentially, it requires the accurate system …
An improved adaptive unscented Kalman filter for estimating the states of in‐wheel‐motored electric vehicle
C Huang, F Lei, X Han, Z Zhang - International Journal of …, 2019 - Wiley Online Library
Vehicle state is essential for active safety stability control. However, the accurate
measurement of some vehicle states is difficult to achieve without the use of expensive …
measurement of some vehicle states is difficult to achieve without the use of expensive …
[HTML][HTML] GLSDC based parameter estimation algorithm for a PMSM model
In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter
estimation algorithm is used to identify a PMSM (Permanent Magnet Synchronous Motor) …
estimation algorithm is used to identify a PMSM (Permanent Magnet Synchronous Motor) …
Robust localization of unmanned surface vehicle using DDQN-AM
W Choi, H Kang, J Lee - International Journal of Control, Automation and …, 2021 - Springer
A robust localization algorithm has been proposed for an Unmanned Surface Vehicle (USV)
using DDQN-AM (Double Deep Q-Network with Action Memory). Inertial Navigation System …
using DDQN-AM (Double Deep Q-Network with Action Memory). Inertial Navigation System …
UKF-based image filtering and 3D reconstruction
A Joukhadar, D Kass Hanna, E Abo Al-Izam - Machine vision and …, 2020 - Springer
In the global world of robotics, robots have missions to achieve interactively with human
environments and online learning. Practically, for null error of a robot's achievement …
environments and online learning. Practically, for null error of a robot's achievement …
[HTML][HTML] Two-Stage Parametric Identification Procedure for a Satellite Motion Model Based on Adaptive Unscented Kalman Filters
OS Chernikova, AK Grechkoseev… - Вестник Южно …, 2022 - cyberleninka.ru
The paper presents a new two-stage parametric identification procedure for constructing a
navigation satellite motion model. At the first stage of the procedure, the parameters of the …
navigation satellite motion model. At the first stage of the procedure, the parameters of the …
Bayesian Estimators for Bioprocess Monitoring Under Uncertainty
A Tuveri - 2023 - ntnuopen.ntnu.no
The simultaneous growing interest in the application of digital solutions and the use of
biological organisms such as bacteria and yeasts for the production of chemicals, has …
biological organisms such as bacteria and yeasts for the production of chemicals, has …
[PDF][PDF] GLSDC Based Parameter Estimation Algorithm for a PMSM Model. Energies 2021, 14, 611
A Sel, B Sel, C Kasnakoglu - 2021 - pdfs.semanticscholar.org
In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter
estimation algorithm is used to identify a PMSM (Permanent Magnet Synchronous Motor) …
estimation algorithm is used to identify a PMSM (Permanent Magnet Synchronous Motor) …