Gray, G.J., Murray-Smith, D.J., Li, Y. and Sharman, K.C. (1996) Nonlinear model structure identification using genetic programming. In: Genetic Programming '96 Conference (GP '96), Stanford, CA, 28-31 Jul 1996, pp. 32-37.
Full text not currently available from Enlighten.
Abstract
Genetic programming can be used to eveolve an algebraic expression as part of an equation representing measured input-output response data. Parts of the nonlinear differential equations describing a dynamic system are identified along with their numerical parameters using genetic programming. The results of several such optimisations are analysed to produce a nonlinear physical representation of the dynamic system. This method is applied to the identification of fluid flow through pipes in a coupled water tank system. A representative nonlinear model is identified.
Item Type: | Conference Proceedings |
---|---|
Additional Information: | Published in: Koza, J.R. (ed.) <i>Late Breaking Papers at the Genetic Programming 1996 Conference</i>. Stanford: Stanford University Press, 1996. ISBN: 9780182010318. |
Keywords: | Genetic programming, dynamic model, nonlinear, optimisation, system identification, fluid flow. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Murray-Smith, Professor David and Li, Professor Yun |
Authors: | Gray, G.J., Murray-Smith, D.J., Li, Y., and Sharman, K.C. |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Systems Power and Energy |
University Staff: Request a correction | Enlighten Editors: Update this record