A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
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Updated
May 19, 2020 - C++
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
Recursive Leasting Squares (RLS) with Neural Network for fast learning
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A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.
Different flavours of CUSUM for change point detection
A collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
Course materials and MATLAB/Simulink codes for projects in coursework - System Identification and Estimation
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