Results 31 to 40 of about 4,548 (274)

State-of-charge estimation for Lithium-Ion batteries using Kalman filters based on fractional-order models

open access: yesConnection Science, 2022
The accuracy of state of charge estimation results will directly affect the performance of battery management system. Due to such, we focus in this article on the SOC estimation of Lithium-Ion batteries based on a fractional second-order RC model with ...
Likun Xing   +3 more
doaj   +1 more source

Robust Land-Surface Parameterisation for Repeated Topographic Surveys in Dynamic Environments with Adaptive State-Space Models

open access: yesRemote Sensing
The proliferation of unmanned aerial vehicles has enabled cost-effective topographic surveys to be collected at high frequencies. However, terrain analyses rarely take advantage of the information provided by repeated observations.
Daniel R. Newman, Yuichi S. Hayakawa
doaj   +1 more source

Applications of the Kalman Filter in Physical Processes: A Review

open access: yesApplied Sciences
This article outlines various specialized adaptations of the Kalman Filter designed to address specific estimation challenges across different domains of Physics.
Ioanna Anagnostaki   +2 more
doaj   +1 more source

Robust INS/GPS sensor fusion for UAV localization using SDRE nonlinear filtering [PDF]

open access: yes, 2009
For publication in IEEE Sensors JournalThe aim of this paper is to present a new INS/GPS sensor fusion scheme, based on State-Dependent Riccati Equation (SDRE) nonlinear filtering, for Unmanned Aerial Vehicle (UAV) localization problem.
Aouf, Nabil, Aouf, N., Nemra, A.
core   +1 more source

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

Online Correction Method for Ratio Methods by Using Geomagnetic Sensors Based on Kalman Filter

open access: yesIEEE Access, 2019
By eliminating the data offset caused by a disturbing magnetic field during the flying condition of a spinning projectile, an adaptive unscented Kalman filter is applied to estimate the actual data of a geomagnetic field and the false value introduced by
Wei Wang, Yulin Liu
doaj   +1 more source

Adaptive Observer and Kalman Filtering [PDF]

open access: yesIFAC Proceedings Volumes, 2008
Abstract In this paper the problem of the speed estimation of an Unmanned Aerial Vehicle is addressed, when only the standard outputs (acceleration, angles and angular speeds) are available for measurement. We focus our analysis on a prototype drone - a 4 rotors helicopter robot-which is not equipped with GPS related devices and relies on the ...
Khadidja Benzemrane   +2 more
openaire   +1 more source

Kalman filtering and smoothing for linear wave equations with model error [PDF]

open access: yes, 2011
Filtering is a widely used methodology for the incorporation of observed data into time-evolving systems. It provides an online approach to state estimation inverse problems when data are acquired sequentially.
A M Stuart   +6 more
core   +1 more source

Adaptive pose and inertial parameters estimation of free-floating tumbling space objects using dual vector quaternions

open access: yesAdvances in Mechanical Engineering, 2017
The robust parameter estimation of unknown space objects is essential to the on-orbit servicing missions. Based on the adaptive filtering techniques along with the dual quaternions modeling methods for pose estimation, this article proposes a dual vector
Xianghao Hou   +3 more
doaj   +1 more source

Localisation of mobile nodes in wireless networks with correlated in time measurement noise. [PDF]

open access: yes, 2011
Wireless sensor networks are an inherent part of decision making, object tracking and location awareness systems. This work is focused on simultaneous localisation of mobile nodes based on received signal strength indicators (RSSIs) with correlated in ...
Bull, D.R.   +15 more
core   +1 more source

Home - About - Disclaimer - Privacy