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WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification

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WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification

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Zambrano-Abad, JC.; Sanchís Saez, J.; Herrero Durá, JM.; Martínez Iranzo, MA. (2018). WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification. Complexity. 2018:1-17. https://doi.org/10.1155/2018/1753262

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/133374

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Title: WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification
Author: Zambrano-Abad, Julio Cesar Sanchís Saez, Javier Herrero Durá, Juan Manuel Martínez Iranzo, Miguel Andrés
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] Current methods to identify Wiener-Hammerstein systems using Best Linear Approximation (BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear dynamics of the Wiener-Hammerstein ...[+]
Copyrigths: Reconocimiento (by)
Source:
Complexity. (issn: 1076-2787 )
DOI: 10.1155/2018/1753262
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1155/2018/1753262
Project ID:
MINISTERIO DE ECONOMIA INDUSTRIA Y COMPETITIVIDAD /DPI2015-71443-R
Thanks:
This work was partially supported by the Spanish Ministry of Economy and Competitiveness (Project DPI2015-71443-R) and Salesian Polytechnic University of Ecuador through a Ph.D. scholarship granted to the first author.
Type: Artículo

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