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Controller tuning by means of evolutionary multiobjective optimization: current trends and applications

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Controller tuning by means of evolutionary multiobjective optimization: current trends and applications

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Reynoso Meza, G.; Blasco Ferragud, FX.; Sanchís Saez, J.; Martínez Iranzo, MA. (2014). Controller tuning by means of evolutionary multiobjective optimization: current trends and applications. Control Engineering Practice. 28:58-73. doi:10.1016/j.conengprac.2014.03.003

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/54817

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Título: Controller tuning by means of evolutionary multiobjective optimization: current trends and applications
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Fecha difusión:
Resumen:
Control engineering problems are generally multi-objective problems; meaning that there are several specifications and requirements that must be fulfilled. A traditional approach for calculating a solution with the desired ...[+]
Palabras clave: Evolutionary multi-objective optimisation , Multi-objective evolutionary algorithms , Multi-criteria decision making , Multi-objective optimisation design procedure , Controller tuning
Derechos de uso: Reserva de todos los derechos
Fuente:
Control Engineering Practice. (issn: 0967-0661 ) (eissn: 1873-6939 )
DOI: 10.1016/j.conengprac.2014.03.003
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.conengprac.2014.03.003
Agradecimientos:
The first author is grateful for the hospitality and availability of the UTC at the University of Sheffield during his academic research stay at 2011; especially to Dr. P.J. Fleming for his valuable comments and insights ...[+]
Tipo: Artículo

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