That page will be extended to present more concepts regarding IMU (Inertial Measurement Unit) data filtering regarding orientation which includes accelerometer for linear acceleration, gyroscope for angular velocity and magnetometer for direction of magnetic field.
Included will be GH filters, Bayesian filtering and finally Kalman filter to filter out noise and outliers. Properly filtered data will be then subject for controlling algorithms like PID (proportional, derivative, integration), sliding mode and predictive control.
