- -

Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System

Show full item record

Pajares-Ferrando, A.; Blasco, X.; Herrero Durá, JM.; Salcedo-Romero-De-Ávila, J. (2020). Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System. IEEE Access. 8:114361-114377. https://doi.org/10.1109/ACCESS.2020.3003741

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/168721

Files in this item

Item Metadata

Title: Analyzing the Nearly Optimal Solutions in a Multi-Objective Optimization Approach for the Multivariable Nonlinear Identification of a PEM Fuel Cell Cooling System
Author: Pajares-Ferrando, Alberto Blasco, Xavier Herrero Durá, Juan Manuel Salcedo-Romero-de-Ávila, José-Vicente
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] In this work, the parametric identification of a cooling system in a PEM (proton exchange membrane) fuel cell is carried out. This system is multivariable and nonlinear. In this type of system there are different ...[+]
Subjects: Multi-objective , Nearly optimal , Multivariable nonlinear system identification , PEM fuel cell
Copyrigths: Reconocimiento (by)
Source:
IEEE Access. (eissn: 2169-3536 )
DOI: 10.1109/ACCESS.2020.3003741
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/ACCESS.2020.3003741
Project ID:
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/
GVA/AICO/2019/055
Thanks:
This work was supported in part by the Ministerio de Ciencia, Innovacion y Universidades, Spain, under Grant RTI2018-096904-B-I00, and in part by the Generalitat Valenciana Regional Government under Project AICO/2019/055.[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record