Underwater navigation with 2D forward looking SONAR: An adaptive unscented Kalman filter‐based strategy for AUVs

M Franchi, A Ridolfi, B Allotta - Journal of Field Robotics, 2021 - Wiley Online Library
One of the most significant challenges in the underwater domain is to retrieve the
autonomous underwater vehicle (AUV) position within the surrounding environment. Indeed …

[HTML][HTML] Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring

A Tuveri, F Perez-Garcia, PA Lira-Parada… - Journal of process …, 2021 - Elsevier
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 …

An AEKF-SLAM algorithm with recursive noise statistic based on MLE and EM

Y Tian, H Suwoyo, W Wang, D Mbemba, L Li - Journal of Intelligent & …, 2020 - Springer
Abstract Extended Kalman Filter (EKF) has been popularly utilized for solving Simultaneous
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 …

[HTML][HTML] GLSDC based parameter estimation algorithm for a PMSM model

A Sel, B Sel, C Kasnakoglu - Energies, 2021 - mdpi.com
In this study, a GLSDC (Gaussian Least Squares Differential Correction) based parameter
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 …

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 …

[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 …

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 …

[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) …