Title :
A genetic programming/NARMAX approach to nonlinear system identification
Author :
Rodríguez-Vázquez, K. ; Fleming, P.J.
Author_Institution :
Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK
Abstract :
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
Keywords :
identification; NARMAX model; genetic programming; linear coding structure; nonlinear polynomial model structures; nonlinear system identification; tree-based coding structure;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971215
