{"id":135633,"date":"1997-01-01T00:00:00","date_gmt":"1997-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/identificacion-de-errores-en-los-parametros-utilizando-historicos-de-medidas\/"},"modified":"1997-01-01T00:00:00","modified_gmt":"1997-01-01T00:00:00","slug":"identificacion-de-errores-en-los-parametros-utilizando-historicos-de-medidas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/identificacion-de-errores-en-los-parametros-utilizando-historicos-de-medidas\/","title":{"rendered":"Identificacion de errores en los parametros utilizando historicos de medidas."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Pedro Zarco Peri\u00f1\u00e1n <\/strong><\/h2>\n<p>En la tesis, una vez desarrollado el estado del arte de la identificacion y estimacion de parametros, se analizan las clasificaciones existentes, proponiendose una mas completa y basada en la ampliacion o no del vector de estado.Seguidamente se desarrollan sus objetivos: &#8211; analizar, mediante ensayos estadisticos, los efectos que los errores en los parametros producen sobre los resultados del estimador de estado, justificandose la necesidad del estimador de parametros como herramienta que elimina dichos errores. Para realizar dicho analisis se utilizan diferentes errores de medida y niveles de redundancia.  &#8211; mostrar como se pueden organizar los calculos de manera que, utilizando simultaneamente varios estados diferentes, se estimen uno o varios parametros con un sobrecosto moderado comparado con el que produciria el procesamiento secuencial de dichos estados.  por ultimo, se justifica experimentalmente el metodo propuesto.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Identificacion de errores en los parametros utilizando historicos de medidas.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Identificacion de errores en los parametros utilizando historicos de medidas. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Pedro Zarco Peri\u00f1\u00e1n <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Sevilla<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1997<\/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>Antonio G\u00f3mez Exp\u00f3sito<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Carlos Izquierdo Mitchell <\/li>\n<li>Jos\u00e9 Cidras Pidre (vocal)<\/li>\n<li>Antonio  Jes\u00fas Conejo Navarro (vocal)<\/li>\n<li>Carlos Alvarez Bel (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Pedro Zarco Peri\u00f1\u00e1n En la tesis, una vez desarrollado el estado del arte de la identificacion y [&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 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