Title
Predictor-Based System Identification In Closed-Loop Under Noise
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 ((c)).
Year
DOI
Venue
2013
10.1504/IJMIC.2013.057566
INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL
Keywords
Field
DocType
predictor-based system identification, PBSID, Kalman observer, integrated noise, closed-loop identification
Control theory,Matrix (mathematics),Kalman filter,Control engineering,Kalman observer,Riccati equation,Observer (quantum physics),CD player,System identification,Mathematics
Journal
Volume
Issue
ISSN
20
4
1746-6172
Citations 
PageRank 
References 
0
0.34
4
Authors
1
Name
Order
Citations
PageRank
Young-Man Kim100.34