{"id":36884,"date":"1998-01-01T00:00:00","date_gmt":"1998-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/nuevos-modelos-de-redes-de-neuronas-artificiales-para-simulacion-y-control-de-sistemas-dinamicos\/"},"modified":"1998-01-01T00:00:00","modified_gmt":"1998-01-01T00:00:00","slug":"nuevos-modelos-de-redes-de-neuronas-artificiales-para-simulacion-y-control-de-sistemas-dinamicos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/nuevos-modelos-de-redes-de-neuronas-artificiales-para-simulacion-y-control-de-sistemas-dinamicos\/","title":{"rendered":"Nuevos modelos de redes de neuronas artificiales para simulacion y control de sistemas dinamicos."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Galvan Leon Ines M. <\/strong><\/h2>\n<p>Esta tesis se desarrolla entorno a dos objetivos fundamentales. El primero de ellos es la contruccion de modelos narma neuronales capaces de actuar como simulador del proceso din\u00e1mico. Los modelos en paralelo poseen dicha propiedad; sin embargo, en este trabajo se muestra que dichos modelos no siempre proporcionan aproximaciones adecuadas. Esto es debido a que sus par\u00e1metros se estiman utilizando el perceptron multicapas. La soluci\u00f3n propuesta en esta tesis consiste en utilizar una red parcialmente recurrente para realizar dicha estimaci\u00f3n.  el segundo objetivo perseguido es el desarrollo de sistemas de control inverso y predictivo no lineales utilizando redes de neuronas. Ambos esquemas han sido ya estudiados por diferentes autores, aunque siguen presentado en la actualidad una serie de limitaciones e inconvenientes, generalmente, en lo referente a aplicaciones en tiempo real. El controlador inverso propuesto se entrena utilizando el aprendizaje generalizado y especializado, de modo que se pueda obtener un conjunto de pesos para inicializar el controlador que act\u00faa en tiempo real. El sistema de control predictivo que se propone incluye una red de neuronas para calcular la red de control. Esto permite resolver los problemas que poseen las estrategias de control predictivo disponibles en la actualidad, ya que se reduce, considerablemente, el esfuerzo computacional.  las t\u00e9cnicas desarrolladas se han aplicado a un proceso din\u00e1mico real, concretamente un reactor qu\u00edmico.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Nuevos modelos de redes de neuronas artificiales para simulacion y control de sistemas dinamicos.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Nuevos modelos de redes de neuronas artificiales para simulacion y control de sistemas dinamicos. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Galvan Leon Ines M. <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1998<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Dolores Barrios Rolania<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Dar\u00edo Maravall G\u00f3mez-allende <\/li>\n<li>Arturo Ribagorda Garnacho (vocal)<\/li>\n<li>Miguel \u00e1ngel Salichs S\u00e1nchez-caballero (vocal)<\/li>\n<li>Antonio Garcia Garcia (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Galvan Leon Ines M. Esta tesis se desarrolla entorno a dos objetivos fundamentales. El primero de ellos [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[1890,2528,126,16008],"tags":[2451,7022,31072,97297,97296,8973],"class_list":["post-36884","post","type-post","status-publish","format-standard","hentry","category-ciencia-de-los-ordenadores","category-inteligencia-artificial","category-matematicas","category-politecnica-de-madrid","tag-antonio-garcia-garcia","tag-arturo-ribagorda-garnacho","tag-dario-maravall-gomez-allende","tag-dolores-barrios-rolania","tag-galvan-leon-ines-m","tag-miguel-angel-salichs-sanchez-caballero"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36884","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=36884"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/36884\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=36884"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=36884"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=36884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}