Results 41 to 50 of about 3,355 (179)

Optimizing Lane Change Precision in Autonomous Vehicles: Smooth Trajectory Execution With MPC-Based State Estimation

IEEE Access
Autonomous vehicle lane change maneuvers are an intricate task that requires multiple subsystems to work together to ensure the maneuver’s safety and efficiency.
Heyi Muluneh Hailu, Salim Hima, Ahmed Chaibet   +2 more
doaj   +1 more source

ATSUKF-Based Actuator Health Assessment Method for Quad-Copter Unmanned Aerial Vehicles

Drones, 2022
The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle.
Zhenxin Zhang, Meng Zhang, Guoxi Li, Shilong Qin, Chunxiao Xu   +4 more
doaj   +1 more source

The Ensemble Kalman Inversion Race

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract Ensemble Kalman methods were initially developed to solve nonlinear data assimilation problems in oceanography but are now popular in applications far beyond their original use cases. Of particular interest is climate model calibration.
Rebecca Gjini, Matthias Morzfeld, Oliver R. A. Dunbar, Tapio Schneider   +3 more
wiley   +1 more source

FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The target dynamics model for tracking of spiraling reentry vehicles is considered. The features of Extended Kalman filter modification and Unscented Kalman filter are listed.
A. S. Solonar, P. A. Khmarski
doaj  

Unscented Kalman Filter Based Attitude Estimation of a Quadrotor

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Quadrotors are well - known unmanned aerial vehicle structures that have some advantages such as hovering, vertical take – off and landing, and low – speed flight. On the other hand, quadrotors are subjected to modeling and sensor uncertainties that lead
Aziz Kaba
doaj  

Maximum Correntropy Unscented Kalman Filter for Ballistic Missile Navigation System based on SINS/CNS Deeply Integrated Mode

Sensors, 2018
Strap-down inertial navigation system/celestial navigation system (SINS/CNS) integrated navigation is a high precision navigation technique for ballistic missiles. The traditional navigation method has a divergence in the position error.
Bowen Hou, Zhangming He, Dong Li, Haiyin Zhou, Jiongqi Wang   +4 more
doaj   +1 more source

Comparative Analysis of the Performances of a Nonlinear Observer and Nonlinear Kalman Filters in the Presence of Non‐Gaussian Disturbances

International Journal of Robust and Nonlinear Control, Volume 36, Issue 7, Page 3896-3913, 10 May 2026.
ABSTRACT This paper focuses on state estimation for a fairly general class of systems, involving nonlinear functions and disturbances in both the process dynamics and output equations. A nonlinear observer that satisfies a H∞$$ {\boldsymbol{H}}_{\boldsymbol{\infty}} $$ disturbance attenuation constraint in addition to providing asymptotic stability in ...
Hamidreza Movahedi, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network

IEEE Access, 2021
An integration scheme for sideslip angle estimation is proposed where a deep neural network and a simple kinematics-based model are combined in an unscented Kalman filter.
Dongchan Kim, Gihoon Kim, Seungwon Choi, Kunsoo Huh   +3 more
doaj   +1 more source

Free‐Air Electric Arc Phenomena in High‐Voltage Energy Transmission Systems: A Comprehensive Review Integrating Physical Modeling and Intelligent Monitoring

Engineering Reports, Volume 8, Issue 5, May 2026.
This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi, Ali Rahmatifar, Ali Asghar Ghadimi   +2 more
wiley   +1 more source

Adaptive Q‐Wavelet Transform and Kalman Filtering for Power Quality Disturbance Prediction and Carbon Emission Impact Analysis in Smart Grids

Engineering Reports, Volume 8, Issue 5, May 2026.
Maintaining power quality (PQ) and minimizing carbon emissions are crucial for sustainable smart grids, especially with increasing renewable energy integration. This paper proposes a novel method combining Adaptive Q‐Wavelet Transform (AQWT) and Kalman Filtering (KF) to predict PQ disturbances and faults while analyzing their impact on carbon emissions.
Abhishek Raj, Anvesha Nandi, Sunil Kumar Sawant, Anil Kumar Swain, Ashlok Prasad Yadav, Ajaya kumar parida, Mohamed Metwally Mahmoud, Vojtech Blazek, Daniel Eutyche Mbadjoun Wapet, Shazly Nasser Fahmy   +9 more
wiley   +1 more source