Using Geno-Iterative Approach to Identify Weiner and Hammerstein Models
DOI:
https://doi.org/10.31663/Keywords:
Hammerstein model identification, Weiner model identification, linear and nonlinear system identification, genetic algorithms, iterative methodAbstract
This paper presents a novel method for identification of the Weiner and Hammersteinmodels and the model's parameters by the application of genetic algorithm optimization
method and an iterative search through a lock up Table. The coefficient values of both linear
and nonlinear parts are estimated by the GA while the type of nonlinearity and degree of
delay of the linear part are determined by the iterative search through the lock up Table. The
simulation results show the effectiveness and ability of the proposed algorithm for
identification and realization of the Weiner and Hammerstein models that describe the real
system.
Downloads
Published
2010-12-01
Issue
Section
Articles
License
Copyright (c) 2010 The Author(s), under exclusive license to the University of Thi-Qar
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Using Geno-Iterative Approach to Identify Weiner and Hammerstein Models . (2010). University of Thi-Qar Journal for Engineering Sciences, 1(2), 98-115. https://doi.org/10.31663/