This project examines some of the popular algorithms used for localization and tracking, including the Kalman filter, Extended Kalman filter, Unscented Kalman filter and the Particle filter.

Model free kalman filtering of nonlinear load current for receding horizon model predictive control of a 3-phase neutral point clamped converter. A comprehensive deep dive into Kalman Filtering — from ...

Abstract: The Kalman filter is a widely used computational tool for estimating unknown internal states of dynamical systems using noisy measurement data. In modern technologies, measurement data is ...

Abstract: This article delves into the challenges of Permanent Magnet Synchronous Motor (PMSM) in speed control, particularly the complex and costly installation of mechanical position sensors. To ...

If we are hiring someone such as a carpenter or an auto mechanic, we always look for two things: what kind of tools they have and what they do when things go wrong. For many types of embedded systems, ...