Data fusion of UWB and IMU based on unscented Kalman filter for indoor localization of quadrotor UAV
W You, F Li, L Liao, M Huang - Ieee Access, 2020 - ieeexplore.ieee.org
The indoor location technique plays a essential role during the application of quadrotor
unmanned aerial vehicle (UAV). However, the control design problem for the quadrotor UAV …
unmanned aerial vehicle (UAV). However, the control design problem for the quadrotor UAV …
A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables
In this paper, a new data assimilation framework for correcting finite element models from
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
datasets acquired on-the-fly in low-frequency dynamics is presented. An Unscented Kalman …
Thermal parameter and state estimation for digital twins of e-powertrain components
B Rodríguez, E Sanjurjo, M Tranchero… - IEEE …, 2021 - ieeexplore.ieee.org
The performance of powertrain components in electric vehicles is tightly intertwined with
their thermal behavior. In practical applications, their temperature must be monitored and …
their thermal behavior. In practical applications, their temperature must be monitored and …
Accurate state of charge estimation for UAV-centric lithium-ion batteries using customized unscented Kalman filter
IM Monirul, L Qiu, R Ruby - Journal of Energy Storage, 2025 - Elsevier
In this paper, we address the critical challenge of accurately estimating the state of charge
(SoC) in lithium-ion (Li-ion) batteries for unmanned aerial vehicles (UAVs). Accurate SoC …
(SoC) in lithium-ion (Li-ion) batteries for unmanned aerial vehicles (UAVs). Accurate SoC …
A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence
Anti-slip control systems are essential for railway vehicle systems with traction. In order to
propose an effective anti-slip control system, adhesion information between wheel and rail …
propose an effective anti-slip control system, adhesion information between wheel and rail …
State estimation in a hydraulically actuated log crane using unscented Kalman filter
Multibody system dynamics approaches together with state estimation methods can reduce
the need for a large number of sensors, especially in the digital twin of working mobile …
the need for a large number of sensors, especially in the digital twin of working mobile …
Robust monitoring of solvent based carbon capture process using deep learning network based moving horizon estimation
Q Wang, C Zheng, X Wu, M Wang - Fuel, 2022 - Elsevier
Solvent based CO 2 capture is a promising technology for the decarbonisation of energy
and industrial sectors. On-line monitoring of the key parameters within the CO 2 capture …
and industrial sectors. On-line monitoring of the key parameters within the CO 2 capture …
Non-contact respiratory rate estimation in real-time with modified joint unscented Kalman filter
It can be life-saving to monitor the respiratory rate (RR) even for healthy people in real-time.
It is reported that the infected people with coronavirus disease 2019 (COVID-19), generally …
It is reported that the infected people with coronavirus disease 2019 (COVID-19), generally …
Parameter estimation for hot-spot thermal model of power transformers using unscented Kalman filters
MÁ Gonzólez-Cagigal… - Journal of Modern …, 2022 - ieeexplore.ieee.org
This paper presents a parameter estimation technique for the hot-spot thermal model of
power transformers. The proposed technique is based on the unscented formulation of the …
power transformers. The proposed technique is based on the unscented formulation of the …
Moving object detection based on a combination of Kalman filter and median filtering
D Kalita, P Lyakhov - Big Data and Cognitive Computing, 2022 - mdpi.com
The task of determining the distance from one object to another is one of the important tasks
solved in robotics systems. Conventional algorithms rely on an iterative process of predicting …
solved in robotics systems. Conventional algorithms rely on an iterative process of predicting …