Predictor-based system identification under noise

In this paper we applied predictor-based system identification technique to several different systems, which are identified without and with integrated noise. The PBSID uses the Kalman observer whose Kalman gain is calculated from the Riccati equation thus, the observer matrix is guaranteed to be stable even identified system is unstable. We applied this concept to the CD player arm and the food extruder system to show its effectiveness with simulation using the Matlab^©.