Efecto del número de variables y restricciones sobre el desempeño computacional de un SBC en la ejecución de un NMPC

Rodríguez Mancera, Sandra Milena

dc.contributor.advisor	Figueredo Medina, Manuel Alfredo
dc.contributor.advisor	Mayorga, Edgar Yesid
dc.contributor.author	Rodríguez Mancera, Sandra Milena
dc.date.accessioned	2021-11-25T20:03:20Z
dc.date.available	2021-11-25T20:03:20Z
dc.date.issued	2021-07-14
dc.identifier.uri	http://hdl.handle.net/10818/49329
dc.description	71 páginas	es_CO
dc.description.abstract	El modelo de control predictivo MPC, model predictive control por sus siglas en inglés, es una estrategia de control de procesos caracterizada por su baja variabilidad favoreciendo la productividad, el uso eficiente de los recursos y la calidad de los productos. De amplio uso en industrias como refinerías, petroquímicas, manipulación de alimentos y minería, esta estrategia exhibe resultados satisfactorios principalmente en sistemas multivariables no lineales [1]. Fundamentado en modelos empíricos o en leyes de la conservación, representadas por medio de sistemas de ecuaciones diferenciales y algebraicas, lineales o no lineales, el comportamiento dinámico de un proceso es predicho en un horizonte de tiempo finito, comparándose continua mente con las mediciones reales y una trayectoria o punto de ajuste definido. Este proceso se ejecuta continuamente de modo que, en cada iteración, se ejecutan cambios en la o las variables manipuladas, sujetos a restricciones del proceso.	es_CO
dc.format	application/pdf	es_CO
dc.language.iso	spa	es_CO
dc.publisher	Universidad de La Sabana	es_CO
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Efecto del número de variables y restricciones sobre el desempeño computacional de un SBC en la ejecución de un NMPC	es_CO
dc.type	master thesis	es_CO
dc.identifier.local	282703
dc.identifier.local	TE11371
dc.type.hasVersion	publishedVersion	es_CO
dc.rights.accessRights	openAccess	es_CO
dc.subject.armarc	Control de procesos industriales	es_CO
dc.subject.armarc	Petroquímicos	es_CO
dc.subject.armarc	Alimentos	es_CO
dc.subject.armarc	Industrias de minerales	es_CO
dc.subject.armarc	Software de aplicación	es_CO
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thesis.degree.discipline	Facultad de Ingeniería	es_CO
thesis.degree.level	Maestría Diseño y Gestión de Procesos	es_CO
thesis.degree.name	Magíster en Diseño y Gestión de Procesos	es_CO