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Metodología de ajuste de un controlador predictivo no lineal basado en modelo con sistema de inferencia borrosa Takagi Sugeno y conjuntos borrosos multidimensionales orientado al control de procesos químicos no lineales

Authors: Palacio Morales, Jairo Alonso;

Metodología de ajuste de un controlador predictivo no lineal basado en modelo con sistema de inferencia borrosa Takagi Sugeno y conjuntos borrosos multidimensionales orientado al control de procesos químicos no lineales

Abstract

Los controles predictivos basados en modelo no lineales (NMPC, por su sigla en inglés), son considerados dentro de las estrategias de control avanzado como una alternativa recomendada para aplicaciones de control no lineal. Los NMPC presentan ventajas tales como la versatilidad en los modelos de predicción utilizados y la consideración de restricciones entre otras. Sin embargo aunque existen planteamientos de sintonización de estrategias MPC con diversas representaciones de modelos de predicción. Muchos de estas propuestas son basadas en aproximaciones experimentales que requieren un numero indefinido de combinaciones y un alto costo computacional para hallar los parametros de sintronización adecuados. Es por esta razón que es notoria la ausencia de propuestas para la sintonización de estrategias NMPC con modelos que permitan la reproducción de la dinámica por medio de reglas que emulen el lenguaje del ser humano.

Magister en Automatización y Control

Keywords

Automatización, Análisis y diseño de sistemas, Control automático, Control predictivo

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green