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A genetic programming/NARMAX approach to nonlinear system identification

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2 Author(s)
Rodriguez-Vazquez, K. ; Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK ; Fleming, P.J.

The tree-based coding structure of genetic programming is explored as an alternative to the more usual linear coding structure of conventional genetic algorithms for use in nonlinear system identification. Based on nonlinear polynomial model structures and the concept of the NARMAX model, genetic programming is shown to be effective in the selection of appropriate model structures

Published in:
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)

Date of Conference: 2-4 Sep 1997

Page(s):
409 - 414
Meeting Date :
02 Sep 1997-04 Sep 1997
ISSN :
0537-9989
Print ISBN:
0-85296-693-8
INSPEC Accession Number:
5773700
Conference Location :
Glasgow
Digital Object Identifier :
10.1049/cp:19971215
Product Type:
Conference Publications

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