System identification using genetic programming and gene expression programming

Authors:
Juan J. Flores;Mario Graff
Affiliations:
División de Estudios de Posgrado, Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolas de Hidalgo;División de Estudios de Posgrado, Facultad de Ingeniería Eléctrica, Universidad Michoacana de San Nicolas de Hidalgo
Venue:
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
Year:
2005

Citing 3
Cited 0

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System identification: theory for the user
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Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming

Genetic Programming and Evolvable Machines

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Abstract

This paper describes a computer program called ECSID that automates the process of system identification using Genetic Programming and Gene Expression Programming. ECSID uses a function set, and the observed data to determine an ODE whose behavior is similar to the observed data. ECSID is capable to evolve linear and non-linear models of higher order systems. ECSID can also code a higher order system as a set of higher order equations. ECSID has been tested with linear pendulum, non-linear pendulum, mass-spring system, linear circuit, etc.