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Authors: M. A. Hossain ; A. A. Madkour and K. P. Dahal

Affiliation: University of Bradford, United Kingdom

ISBN: 972-8865-31-7

Keyword(s): Performance issues, system identification, active vibration control, genetic algorithm, recursive least square and ANFIS.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Real-Time Systems Control ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: This research presents an investigation into the comparative performance in implementing intelligent system identification and control algorithms. Several approaches for on-line system identification and control are explored and evaluated to demonstrate the merits in implementing the algorithms for similar level of error convergence. Active vibration control (AVC) of a flexible beam system is considered as a platform for the investigation. The AVC system is designed using three different on-line identification approaches, which include (a) genetic algorithms (GAs) (b) adaptive neuro-fuzzy inference system (ANFIS) and (c) recursive least square (RLS) estimation. These algorithms are used to estimate a linear discrete model of the system. Based on these algorithms, different approaches of the AVC system are implemented, tested and validated to evaluate the relative merits of the algorithms. Finally, a comparative performance of the error convergence performance in implementing the ident ification and control algorithms is presented and discussed through a set of experiments. (More)

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Paper citation in several formats:
A. Hossain M.; A. Madkour A.; P. Dahal K. and (2005). COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION.In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 364-367. DOI: 10.5220/0001179903640367

@conference{icinco05,
author={M. {A. Hossain} and A. {A. Madkour} and K. {P. Dahal}},
title={COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={364-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001179903640367},
isbn={972-8865-31-7},
}

TY - CONF

JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION
SN - 972-8865-31-7
AU - A. Hossain, M.
AU - A. Madkour, A.
AU - P. Dahal, K.
PY - 2005
SP - 364
EP - 367
DO - 10.5220/0001179903640367

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