Nonlinear model structure identification using genetic programming (original) (raw)
Gray, G.J., Murray-Smith, D.J., Li, Y. 
ORCID: https://orcid.org/0000-0002-6575-1839 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.
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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.) Late Breaking Papers at the Genetic Programming 1996 Conference. 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 softwareT Technology > TJ Mechanical engineering and machineryT Technology > TK Electrical engineering. Electronics Nuclear engineering |
| College/School: | College of Science and Engineering > School of EngineeringCollege of Science and Engineering > School of Engineering > Systems Power and Energy |
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