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dc.contributor.author | Zambrano, J. | 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 | 2022-10-10T18:07:18Z | |
dc.date.available | 2022-10-10T18:07:18Z | |
dc.date.issued | 2020 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/187370 | |
dc.description.abstract | [EN] Several approaches have been presented to identify Wiener-Hammerstein models, most of them starting from a linear dynamic model whose poles and zeros are distributed around the static non- linearity. To achieve good precision in the estimation, the Best Linear Approximation (BLA) has usually been used to represent the linear dynamics, while static non-linearity has been arbitrarily parameterised without considering model complexity. In this paper, identification of Wiener, Hammerstein or Wiener-Hammerstein models is stated as a multiobjective optimisation problem (MOP), with a trade-off between accuracy and model complexity. Precision is quantified with the Mean-Absolute-Error (MAE) between the real and estimated output, while complexity is based on the number of poles, zeros and points of the static non- linearity. To solve the MOP, WH-MOEA, a new multiobjective evolutionary algorithm (MOEA) is proposed. From a linear structure, WH-MOEA will generate a set of optimal models considering a static non-linearity with a variable number of points. Using WH-MOEA, a procedure is also proposed to analyse various linear structures with different numbers of poles and zeros (known as design concepts). A comparison of the Pareto fronts of each design concept allows a more in-depth analysis to select the most appropriate model according to the user¿s needs. Finally, a complex numerical example and a real thermal process based on a Peltier cell are identified, showing the procedure¿s goodness. The results show that it can be useful to consider the simultaneously precision and complexity of a block-oriented model (Wiener, Hammerstein or Wiener- Hammerstein) in a non-linear process identification. | es_ES |
dc.description.sponsorship | This work was supported in part by the Ministerio de Ciencia, Innovación y Universidades, Spain, under Grant RTI2018-096904-B-I00-AR, and in part by the Salesian Polytechnic University of Ecuador through a Ph.D. scholarships granted to J. Zambrano. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Institute of Electrical and Electronics Engineers | es_ES |
dc.relation.ispartof | IEEE Access | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Wiener-Hammerstein identification | es_ES |
dc.subject | Multiobjective optimisation | es_ES |
dc.subject | Evolutionary algorithm | es_ES |
dc.subject | Pareto front | es_ES |
dc.subject.classification | INGENIERIA DE SISTEMAS Y AUTOMATICA | es_ES |
dc.title | WH-MOEA: A Multi-Objective Evolutionary Algorithm for Wiener-Hammerstein System Identification. A Novel Approach for Trade-Off Analysis Between Complexity and Accuracy | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1109/ACCESS.2020.3046352 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096904-B-I00/ES/HERRAMIENTAS DE OPTIMIZACION MULTIOBJETIVO PARA LA CARACTERIZACION Y ANALISIS DE CONCEPTOS DE DISEÑO Y SOLUCIONES SUB-OPTIMAS EFICIENTES EN PROBLEMAS DE INGENIERIA DE SISTEMAS/ | 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, J.; Sanchís Saez, J.; Herrero Durá, JM.; Martínez Iranzo, MA. (2020). WH-MOEA: A Multi-Objective Evolutionary Algorithm for Wiener-Hammerstein System Identification. A Novel Approach for Trade-Off Analysis Between Complexity and Accuracy. IEEE Access. 8:228655-228674. https://doi.org/10.1109/ACCESS.2020.3046352 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/ACCESS.2020.3046352 | es_ES |
dc.description.upvformatpinicio | 228655 | es_ES |
dc.description.upvformatpfin | 228674 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 8 | es_ES |
dc.identifier.eissn | 2169-3536 | es_ES |
dc.relation.pasarela | S\426468 | es_ES |
dc.contributor.funder | AGENCIA ESTATAL DE INVESTIGACION | es_ES |
dc.contributor.funder | Universidad Politécnica Salesiana, Ecuador | es_ES |