Results 61 to 70 of about 7,896 (220)

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

The unscented Kalman filtering in extended noise environments

open access: yes2009 American Control Conference, 2009
This paper introduces an extended environment for the unscented Kalman filtering that considers also the presence of additive noise on input observations in order to solve the problem of optimal estimation of noise-corrupted input and output sequences.
Yucheng Zhou 0003   +3 more
openaire   +1 more source

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

open access: yesEngineering 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   +9 more
wiley   +1 more source

Proposta de estimador não linear intermitente para sistemas de controle via rede sem fio [PDF]

open access: yes, 2013
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Automação e Sistemas, Florianópolis, 2013.Nesta tese, é tratado do problema de estimação em Sistemas de Controle Via Rede sem fio ...
Foletto, Tanisia de Carli
core  

Unscented Kalman Filter Based Attitude Estimation of a Quadrotor

open access: yesHavacılık 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  

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

open access: yesDrones, 2022
The actuator, which generally consists of motors, electrical regulations, and propellers, is the key component of the quadrotor Unmanned Aerial Vehicle.
Zhenxin Zhang   +4 more
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

open access: yesJournal of Field Robotics, Volume 43, Issue 3, Page 2254-2341, May 2026.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong   +13 more
wiley   +1 more source

FILTERING FEATURES FOR TRACKING OF SPIRALING REENTRY VEHICLES

open access: yesДоклады 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  

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 4, April 2026.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya   +2 more
wiley   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

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