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Metodología híbrida para resolver el control predictivo de sistemas (lineales) afines a tramos

descriptionPublicationkeyboard_double_arrow_right Conference object 01 Jan 2020 Spain Spanish Publisher:CEA - Comité Español de Automática
Authors: Peña, Miguel E.; Camacho, Eduardo F.; Piñón, Sandra;

handle: 11441/95679

Metodología híbrida para resolver el control predictivo de sistemas (lineales) afines a tramos

Abstract

Este artículo presenta un procedimiento híbrido para resolver el Control predictivo (MPC) de sistemas (lineales) afines a tramos (PWA). El procedimeinto utiliza los conceptos de conuntos alcanzables, conjunsto controlables, y gráficos de transición de estados (STG) para reducir el número de problemas de programación cuadrática (QP) necesarios para obtener un óptimo global. El algoritmo propuesto reduce considerablemente el número de exploraciones que se necesitan durante la búsqueda de un mínimo global y de esta forma el tiempo requerido por el MPC se redu ce a una pequeña fracción del tiempo que se requiere para el problema original.

XXIV JORNADAS DE AUTOMÁTICA (24) (24.2003.LEÓN, ESPAÑA)

Ministerio de Ciencia y Tecnología DPI2002-04375-C03-01

Country
Spain
Related Organizations
Keywords

Sistemas híbridos, Control Predictivo, Sistemas lineales afines a tramos

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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