Results 221 to 230 of about 63,163 (313)

POD-based Unscented Kalman Filter as reduced-order model for nowcasting of a simulated open channel flow

, 2013
Nguyen Linh Van, Christopher John, Nguyen Thien Duy, Dinh Thien Xuan   +3 more
openalex   +2 more sources

A New Approach for Estimation of Lithium‐Ion Battery State of Charge and Health Using Mixed H∞/H2 Control With Sliding Mode Observer

Battery Energy, Volume 5, Issue 1, January 2026.
The rise of renewable energy sources is accompanied with a depletion of raw materials used in batteries. The project summarized in this paper presents a system aiming to estimate the SOC and SOH of Lithium‐Ion Battery. This is achieved Using Mixed H∞/H2 Control with Sliding Mode Observer.
Chadi Nohra, Jalal Faraj, Bechara Nehme, Mahmoud Khaled, Rachid Outbib   +4 more
wiley   +1 more source

An Integrated Low-Cost Underwater Navigation Solution for Divers Employing an INS Composed of Low-Cost Sensors Using the Robust Kalman Filter and Sensor Fusion. [PDF]

Sensors (Basel)
Hayashi T, Terada D.
europepmc   +1 more source

IMPLEMENTATION OF KALMAN FILTER ON VISUAL TRACKING USING PID CONTROLLER

, 2017
F Abdurrahman, Gunawan Sugiarta, Feriyonika   +2 more
openalex   +2 more sources

Insights into the Structure and Dynamics of Water at Co3O4${\rm Co}_3{\rm O}_4$(001) Using a High‐Dimensional Neural Network Potential

ChemCatChem, Volume 18, Issue 1, 15 January 2026.
A high‐dimensional neural network potential trained on density functional theory data enables large‐scale molecular dynamics simulations of Co3O4(001)‐water interfaces. The A and B terminations display distinct hydration structures, hydroxylation, and hydrogen‐bond ordering. The B‐terminated surface stabilizes a compact, quasi‐epitaxial hydration layer
Amir Omranpour, Jörg Behler
wiley   +1 more source

Joint estimation of hand-foot-mouth disease model and prediction in korea using the ensemble kalman filter. [PDF]

PLoS Comput Biol
Abbas W, Lee S, Kim S.
europepmc   +1 more source

Navigation in Wheeled Mobile Robots Using Kalman Filter Augmented with Parallel Cascade Identification to Model Azimuth Error

, 2013
Atif Rahman
openalex   +1 more source

Lossless Information‐Based Dimensionality Reduction of Comprehensive Features With a Deep Variational Autoencoder Enables Early‐Life Prediction of Lithium‐Ion Batteries

Carbon Neutralization, Volume 5, Issue 1, January 2026.
This paper presents a dimensionality reduction approach that minimizes feature redundancy while retaining essential information, simplifying subsequent model training. Starting with a complete feature set to capture aging characteristics, we reduced it to 10 key features, resulting in a maximum reconstruction mean squared error (MSE) of 0.02139.
Linjing Zhang, Zhexin Zhang, Chunxu Hou, Dinghong Chen, Caiping Zhang, Tao Zhu, Weige Zhang   +6 more
wiley   +1 more source