Nature

Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation

This study introduces a novel approach for enhancing state estimation in non-linear dynamic systems by integrating Generative Adversarial Networks (GANs) with the Unscented Kalman Filter (UKF). While ...
EurekAlert!

A novel SOC estimation model: combining machine learning and Kalman filtering

Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...
Nature

Application of a long short-term memory neural network algorithm fused with Kalman filter in UWB indoor positioning

In today’s digital era, technology is developing rapidly, and numerous intelligent fields have increasingly higher requirements for location accuracy. In outdoor environments, GNSS (Global Navigation ...