Results 111 to 120 of about 18,908 (211)

A real-time prediction interval correction method with an unscented Kalman filter for settlement monitoring of a power station dam. [PDF]

Sci Rep, 2023
Zhou T, Jie Y, Wei Y, Zhang Y, Chen H.
europepmc   +1 more source

An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data. [PDF]

Chaos Solitons Fractals, 2023
Papageorgiou VE, Tsaklidis G.
europepmc   +1 more source

Trajectory Estimation Filtering Algorithm for Underwater Equipment Based on UKF

Haiyang Kaifa yu guanli
The underwater equipment carried by the East China Sea seabed observation network is often lost due to human activities. When solving the trajectory of underwater equipment by inertial navigation, the noise caused by the complex ocean environment and ...
CHEN Ziyue, JI Fuwu, ZHOU Wei
doaj  

An Adaptive Robust Square Root Unscented Kalman Filter for Forecasting Aided State Estimation in Power Systems

IEEE Access
In this article, an adaptive robust square-root unscented Kalman filter (ARSQUKF) has been suggested for performing the forecasting aided state estimation (FASE) in power systems.
Shubhrajyoti Kundu, Ark Dev, Mehebub Alam, Biman Kumar Saha Roy, Siddhartha Sankar Thakur, Sachin Sharma   +5 more
doaj   +1 more source

Unscented Kalman filter for airship model uncertainties and wind disturbance estimation. [PDF]

PLoS One, 2021
Wasim M, Ali A, Choudhry MA, Saleem F, Shaikh IUH, Iqbal J.   +5 more
europepmc   +1 more source

Unscented Kalman Filter-Based Robust State and Parameter Estimation for Free Radical Polymerization of Styrene with Variable Parameters. [PDF]

Polymers (Basel), 2022
Zhang Z, Zhang Z, Hong Z.
europepmc   +1 more source

MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking. [PDF]

Front Robot AI, 2021
Piga NA, Bottarel F, Fantacci C, Vezzani G, Pattacini U, Natale L.   +5 more
europepmc   +1 more source

Adaptive Unscented Kalman Filter for Target Tacking with Time-Varying Noise Covariance Based on Multi-Sensor Information Fusion. [PDF]

Sensors (Basel), 2021
Wang D, Zhang H, Ge B.
europepmc   +1 more source

When Consensus Meets Unscented Kalman Filter

, 2014
This slide is presented at 2014 International Conference on Mechatronics and Control conference. Stay tuned for the pubilicated paper.
openaire   +1 more source

Parameter and state estimation of backers yeast cultivation with a gas sensor array and unscented Kalman filter. [PDF]

Eng Life Sci, 2021
Yousefi-Darani A, Paquet-Durand O, Hinrichs J, Hinrichs J, Hitzmann B.   +4 more
europepmc   +1 more source