Real time implementation

dc.contributorSanchez, E.N., CINVESTAV, Unidad Guadalajara, Plaza la Luna, Guadalajara, Jalisco 45091, Mexico; Alan�s, A.Y., Departamento Deciencias Computacionales, CUCEI, Universidad de Guadalajara, Blvd. Marcelino Garcia Barragan 1421, Jalisco 44430, Mexico; Loukianov, A.G., CINVESTAV, Unidad Guadalajara, Plaza la Luna, Guadalajara, Jalisco 45091, Mexico
dc.creatorSanchez, E.N.
dc.creatorAlanis, A.Y.
dc.creatorLoukianov, A.G.
dc.date.accessioned2015-09-15T18:47:49Z
dc.date.accessioned2023-07-04T04:56:00Z
dc.date.available2015-09-15T18:47:49Z
dc.date.available2023-07-04T04:56:00Z
dc.date.created2015-09-15T18:47:49Z
dc.date.issued2008
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-46949105580&partnerID=40&md5=1abbcf71ffba5808dae34b10f66e7388
dc.identifierhttp://hdl.handle.net/20.500.12104/44078
dc.identifier10.1007/978-3-540-78289-6_7
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7271695
dc.description.abstractIn this chapter real time implementation is presented in order to validate the theoretical results discussed in previous chapters. The results presented in this chapter include the Neural Network Identification scheme presented in Chap. 4, the RHONO presented in Chap. 5, the Neural Backstepping Approach analyzed in Chap. 3, the Neural Bock Control Technique discussed in Chap. 4 and the modifications of the last two controllers treated in Chap. 6 to include the RHONO. All these applications was performed using a three phase induction motor. � 2008 Springer-Verlag Berlin Heidelberg.
dc.relationScopus
dc.relationStudies in Computational Intelligence
dc.relation112
dc.relation73
dc.relation94
dc.titleReal time implementation
dc.typeArticle


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