Evolutionary grey-box modelling for practical systems

Tan, K.C. and Li, Y. (1997) Evolutionary grey-box modelling for practical systems. In: Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, Glasgow, UK, 2-4 Sep 1997, pp. 369-375. (doi:10.1049/cp:19971208)

Full text not currently available from Enlighten.

Publisher's URL: http://dx.doi.org/10.1049/cp:19971208

Abstract

A novel grey box modelling methodology combining advantages of both black and clear boxes is proposed. The technique makes the best use of a priori knowledge on the clear box global structure of a physical system, whilst it incorporates accurate black boxes for unmeasurable local nonlinearities. Through hybrid genetic evolution and Boltzmann learning, it enables dominant structural modelling with local parametric tuning, without the need for linear parametrisation. 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 model will accommodate many practical systems.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Li, Professor Yun
Authors: Tan, K.C., and Li, Y.
Subjects:Q Science > Q Science (General)
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy

University Staff: Request a correction | Enlighten Editors: Update this record