Title: Predictor-based system identification in closed-loop under noise

Authors: Young-Man Kim

Addresses: Department of Computer Science, Engineering, and Physics, University of Michigan-Flint, 303 E. Kearsley St., Flint, MI 48502, USA

Abstract: In this paper, I apply predictor-based system identification technique to several different systems, which are identified without and with integrated noise in closed-loop and open-loop. 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 whether the identified system is in open-loop or closed-loop. Related algorithm is developed. I apply this concept to the CD player arm and the food extruder system to show its effectiveness with simulation using the MATLAB©.

Keywords: predictor-based system identification; PBSID; Kalman observer; integrated noise; closed-loop identification; CD player arms; food extruder systems; simulation.

DOI: 10.1504/IJMIC.2013.057566

International Journal of Modelling, Identification and Control, 2013 Vol.20 No.4, pp.329 - 336

Available online: 13 Nov 2013 *

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