Signal preprocessing and downsampling for optimal disturbance attenuation in networked control systems

The paper considers benefits of appropriate preprocessing of sampled noisy process output prior to down-sampling necessary when the sensor´s A/D converter sampling frequency is much higher than the band allowed by an industrial network that connects controller with distant sensor and actuator. Two methods of preprocessing are considered and compared: moving averaging and Kalman filtering of the sampled sensor readings.