Identification of a Benchmark Wiener-Hammerstein: A bilinear and Hammerstein-Bilinear model approach

• Type: Article in International Scientific Journal
• Date: 2012

Authors

P. Lopes dos Santos (Author) FEUP; Ramos, JA (Author) Other; Jorge Martins de Carvalho (Author) FEUP

Journal

Title: Control Engineering Practice

Vol. 20

Pages: 1156-1164

ISSN: 0967-0661

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 10 Citations

Other information

Authenticus ID: P-002-46W

DOI: 10.1016/j.conengprac.2012.04.002

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 9