Identification of a Benchmark Wiener-Hammerstein: A Bilinear and Hammerstein–Bilinear Model Approach

Author(s)

Jose A. Ramos, Nova Southeastern UniversityFollow
Paulo Lopes dos Santos
Jorge L. Martins de Carvalho

Document Type

Article

Publication Title

Control Engineering Practice

ISSN

0967-0661

Publication Date

11-2012

Abstract

In this paper the Wiener–Hammerstein Benchmark is identified as a bilinear discrete system. The bilinear approximation relies on both facts that the Wiener–Hammerstein system can be described by a Volterra series which can be approximated by bilinear systems. The identification is performed with an iterative bilinear subspace identification algorithm previously proposed by the authors. In order to increase accuracy, polynomial static nonlinearities were added to the bilinear model input. These Hammerstein type bilinear models are then identified using the same iterative subspace identification algorithm.

DOI

10.1016/j.conengprac.2012.04.002

Volume

20

Issue

11

First Page

1156

Last Page

1164

NSUWorks Citation

Ramos, Jose A.; Lopes dos Santos, Paulo; and Martins de Carvalho, Jorge L., "Identification of a Benchmark Wiener-Hammerstein: A Bilinear and Hammerstein–Bilinear Model Approach" (2012). CCE Faculty Articles. 435.
https://nsuworks.nova.edu/gscis_facarticles/435