Using Geno-Iterative Approach to Identify Weiner and Hammerstein Models

  • Ali H. Hasan University of Thi-Qar
Keywords: Hammerstein model identification, Weiner model identification, linear and nonlinear system identification, genetic algorithms, iterative method

Abstract

This paper presents a novel method for identification of the Weiner and Hammerstein
models 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.
Published
2019-04-28
Section
Articles