Grey-box model identification via evolutionary computing

Tan, K.C. and Li, Y. (2002) Grey-box model identification via evolutionary computing. Control Engineering Practice, 10(7), pp. 673-684. (doi: 10.1016/S0967-0661(02)00031-X)

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Publisher's URL: http://dx.doi.org/10.1016/S0967-0661(02)00031-X

Abstract

This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate blackbox models for immeasurable and local nonlinearities of a practical system. The evolutionary technique is applied to building dominant structural identification with local parametric tuning without the need of a differentiable performance index in the presence of noisy data. It is shown that the evolutionary technique provides an excellent fitting performance and is capable of accommodating multiple objectives such as to examine the relationships between model complexity and fitting accuracy during the model building process. Validation results show that the proposed method offers robust, uncluttered and accurate models for two practical systems. It is expected that this type of grey-box models will accommodate many practical engineering systems for a better modelling accuracy.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Li, Professor Yun
Authors: Tan, K.C., and Li, Y.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Research Group:Intelligent Systems
Journal Name:Control Engineering Practice
Publisher:Elsevier Science B.V.
ISSN:0967-0661
Copyright Holders:Copyright © 2002 Elsevier
First Published:First published in Control Engineering Practice 10(7):673-684
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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