COMPARISON OF TWO IDENTIFICATION TECHNIQUES: THEORY AND APPLICATION

Pierre-Olivier Vandanjon, Alexandre Janot, Maxime Gautier, Flavia Khatounian

2007

Abstract

Parametric identification requires a good know-how and an accurate analysis. The most popular methods consist in using simply the least squares techniques because of their simplicity. However, these techniques are not intrinsically robust. An alternative consists in helping them with an appropriate data treatment. Another choice consists in applying a robust identification method. This paper focuses on a comparison of two techniques: a “helped” least squares technique and a robust method called “the simple refined instrumental variable method”. These methods will be applied to a single degree of freedom haptic interface developed by the CEA Interactive Robotics Unit.

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Paper Citation


in Harvard Style

Vandanjon P., Janot A., Gautier M. and Khatounian F. (2007). COMPARISON OF TWO IDENTIFICATION TECHNIQUES: THEORY AND APPLICATION . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-83-2, pages 341-347. DOI: 10.5220/0001621403410347


in Bibtex Style

@conference{icinco07,
author={Pierre-Olivier Vandanjon and Alexandre Janot and Maxime Gautier and Flavia Khatounian},
title={COMPARISON OF TWO IDENTIFICATION TECHNIQUES: THEORY AND APPLICATION},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={341-347},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001621403410347},
isbn={978-972-8865-83-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - COMPARISON OF TWO IDENTIFICATION TECHNIQUES: THEORY AND APPLICATION
SN - 978-972-8865-83-2
AU - Vandanjon P.
AU - Janot A.
AU - Gautier M.
AU - Khatounian F.
PY - 2007
SP - 341
EP - 347
DO - 10.5220/0001621403410347