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

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

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

Revista

Título: Control Engineering Practice

Vol. 20

Páginas: 1156-1164

ISSN: 0967-0661

Editora: Elsevier

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 10 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 9