IDENTIFICATION OF MULTI-DIMENSIONAL SYSTEM BASED ON A NOVEL CRITERION

Yue Zhao, Kueiming Lo, Wook-Hyun Kwon

2008

Abstract

Most system recursive identification algorithms are based on the prediction error (PE) criterion. Such a recursive algorithm only considers the present estimation residual error instead of all estimation residuals. It would result in large estimation error when the signal noise disturbs strongly. In this paper, a new identification criterion is proposed. It considers both the errors between the actual outputs and the estimation result and the difference of each estimation error. Under this criterion, a new recursive algorithm MSDCN (Multi-dimensional System Disturbed by Color Noise) is proposed. For multi-dimensional systems, weighting different values on the estimation errors and the difference of each error, MSDCN could both decrease the estimation errors and got smooth prediction curves. Several simulation examples are given to illustrate the method’s anti-disturbance performance.

Paper Citation

in Harvard Style

Zhao Y., Lo K. and Kwon W. (2008). IDENTIFICATION OF MULTI-DIMENSIONAL SYSTEM BASED ON A NOVEL CRITERION . In Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-989-8111-32-6, pages 143-148. DOI: 10.5220/0001492001430148

in Bibtex Style

@conference{icinco08,
author={Yue Zhao and Kueiming Lo and Wook-Hyun Kwon},
title={IDENTIFICATION OF MULTI-DIMENSIONAL SYSTEM BASED ON A NOVEL CRITERION},
booktitle={Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2008},
pages={143-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001492001430148},
isbn={978-989-8111-32-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - IDENTIFICATION OF MULTI-DIMENSIONAL SYSTEM BASED ON A NOVEL CRITERION
SN - 978-989-8111-32-6
AU - Zhao Y.
AU - Lo K.
AU - Kwon W.
PY - 2008
SP - 143
EP - 148
DO - 10.5220/0001492001430148