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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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Nombre: Zambrano-Abad;San ...
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dc.contributor.author Zambrano-Abad, Julio Cesar es_ES
dc.contributor.author Sanchís Saez, Javier es_ES
dc.contributor.author Herrero Durá, Juan Manuel es_ES
dc.contributor.author Martínez Iranzo, Miguel Andrés es_ES
dc.date.accessioned 2019-12-19T21:01:47Z
dc.date.available 2019-12-19T21:01:47Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1076-2787 es_ES
dc.identifier.uri http://hdl.handle.net/10251/133374
dc.description.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 model. Second, a re tting procedure of all parameters is carried out to reduce modelling errors. In this paper, a novel approach to identify Wiener-Hammerstein systems in a single step is proposed. is approach is based on a customized evolutionary algorithm (WH-EA) able to look for the best BLA split, capturing at the same time the process static nonlinearity with high precision. Furthermore, to correct possible errors in BLA estimation, the locations of poles and zeros are subtly modi ed within an adequate search space to allow a ne-tuning of the model. e performance of the proposed approach is analysed by using a demonstration example and a nonlinear system identi cation benchmark. es_ES
dc.description.sponsorship 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. es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof Complexity es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1155/2018/1753262 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2015-71443-R/ES/DESARROLLO DE HERRAMIENTAS AVANZADAS PARA METODOLOGIAS DE DISEÑO Y OPTIMIZACION MULTIOBJETIVO EN INGENIERIA DE CONTROL. APLICACION A SISTEMAS MULTIVARIABLES./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1155/2018/1753262 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2018 es_ES
dc.relation.pasarela S\353641 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
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