PARAMETER CONVERGENCE IN ADAPTIVE FUZZY CONTROL

Domenico Bellomo, David Naso, Robert Babuška

Abstract

In this paper, the convergence of parameter estimates and the interactions among the two adaptive fuzzy systems constituting an indirect adaptive fuzzy controller are studied, both analytically and by means of simulations with a second-order nonlinear system. The analytical results and the simulations, performed with various initial conditions and learning rates, highlight how the interactions affect the behavior of the adaptive control scheme with regard to the control performance in terms of a tracking error, accuracy and relevance of the identified fuzzy models.

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Paper Citation


in Harvard Style

Bellomo D., Naso D. and Babuška R. (2004). PARAMETER CONVERGENCE IN ADAPTIVE FUZZY CONTROL . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-12-0, pages 135-142. DOI: 10.5220/0001128701350142


in Bibtex Style

@conference{icinco04,
author={Domenico Bellomo and David Naso and Robert Babuška},
title={PARAMETER CONVERGENCE IN ADAPTIVE FUZZY CONTROL},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2004},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001128701350142},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - PARAMETER CONVERGENCE IN ADAPTIVE FUZZY CONTROL
SN - 972-8865-12-0
AU - Bellomo D.
AU - Naso D.
AU - Babuška R.
PY - 2004
SP - 135
EP - 142
DO - 10.5220/0001128701350142