REAL-CODED GENETIC ALGORITHM IDENTIFICATION OF A FLEXIBLE PLATE SYSTEM

S. Md Salleh, M. O. Tokhi, S. F. Toha

2009

Abstract

Parametric modelling deals with determination of model parameters of a system. Parametric modelling of systems may benefit from advantages of real coded genetic algorithms (RCGAs), as they do not suffer from loss of precision during the processes of encoding and decoding compared with Binary Coded Genetic Algorithm. In this paper, RCGA is used to identify the best model order and associated parameters characterising a thin plate system. The performance of the approach is assessed on basis mean-squared error, time and frequency domain response of the developed model in characterising the system. A comparative assessment of the approach with binary coded GA is also provided. Simulation results signify the advantages of RCGA over two further algorithms in modelling the plate system are also provided.

Paper Citation

in Harvard Style

Md Salleh S., O. Tokhi M. and F. Toha S. (2009). REAL-CODED GENETIC ALGORITHM IDENTIFICATION OF A FLEXIBLE PLATE SYSTEM . In Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-674-001-6, pages 124-129. DOI: 10.5220/0002207801240129

in Bibtex Style

@conference{icinco09,
author={S. Md Salleh and M. O. Tokhi and S. F. Toha},
title={REAL-CODED GENETIC ALGORITHM IDENTIFICATION OF A FLEXIBLE PLATE SYSTEM},
booktitle={Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2009},
pages={124-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002207801240129},
isbn={978-989-674-001-6},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - REAL-CODED GENETIC ALGORITHM IDENTIFICATION OF A FLEXIBLE PLATE SYSTEM
SN - 978-989-674-001-6
AU - Md Salleh S.
AU - O. Tokhi M.
AU - F. Toha S.
PY - 2009
SP - 124
EP - 129
DO - 10.5220/0002207801240129