Dynamics identification and control of nonlinear MIMO coupled plant using supervised neural gas and comparison with recurrent neural controller

dc.contributor.author	Machón González, Iván José
dc.contributor.author	López García, Hilario
dc.contributor.author	Bocos Barranco, Ignacio
dc.date.accessioned	2019-11-14T10:21:43Z
dc.date.available	2019-11-14T10:21:43Z
dc.date.issued	2020
dc.identifier.citation	Neural Computing and Applications (2020); doi:10.1007/s00521-019-04195-9
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/53026
dc.description.sponsorship	Our warmest thanks are expressed to the following for their financial support: The Commission of the European Communities, European Coal and Steel (ECSC), supporting MACO Pilot project ‘‘Optimization of the mixed-acid online monitoring and control in stainless steel pickling plants’’ with 709694 as grant agreement number
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© Springer-Verlag London Ltd., part of Springer Nature 2019
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85067689764&doi=10.1007%2fs00521-019-04195-9&partnerID=40&md5=68b4eba587d6e4f1a8fe062ad900d0b7
dc.title	Dynamics identification and control of nonlinear MIMO coupled plant using supervised neural gas and comparison with recurrent neural controller
dc.type	journal article
dc.identifier.doi	10.1007/s00521-019-04195-9
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-019-04195-9

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