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Controller tuning by means of multi-objective optimization algorithms: a global tuning framework

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Reynoso Meza, G.; García-Nieto Rodríguez, S.; Sanchís Saez, J.; Blasco, X. (2013). Controller tuning by means of multi-objective optimization algorithms: a global tuning framework. IEEE Transactions on Control Systems Technology. 21(2):445-458. doi:10.1109/TCST.2012.2185698

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/75486

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Title: Controller tuning by means of multi-objective optimization algorithms: a global tuning framework
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
A holistic multi-objective optimization design technique for controller tuning is presented. This approach gives control engineers greater flexibility to select a controller that matches their specifications. Furthermore, ...[+]
Subjects: Controller tuning , Decision making , Evolutionary algorithm , Multiobjective optimization , Proportional-integral-derivative (PID) tuning
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Control Systems Technology. (issn: 1063-6536 ) (eissn: 1558-0865 )
DOI: 10.1109/TCST.2012.2185698
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Publisher version: http://dx.doi.org/10.1109/TCST.2012.2185698
Description: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Thanks:
This work was supported in part by the FPI-2010/19 Grant and the Project PAID-06-11 from the Universitat Politecnica de Valencia and in part by the Projects DPI2008-02133, TIN2011-28082, and ENE2011-25900 from the Spanish ...[+]
Type: Artículo

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