Minimal Controllable Set for Takagi-Sugeno Fuzzy Systems with disturbances
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Título
Minimal Controllable Set for Takagi-Sugeno Fuzzy Systems with disturbancesFecha de publicación
2019-10-29Editor
Elsevier; IFAC (International Federation of Automatic Control)Cita bibliográfica
ARIÑO, Carlos; SALA, Antonio. Minimal Controllable Set for Takagi-Sugeno Fuzzy Systems with disturbances. IFAC-PapersOnLine, 2019, vol. 52, no 11, p. 55-60.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://www.sciencedirect.com/science/article/pii/S2405896319307475Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
In this paper, an approximation of the smallest set (in a given norm) to which the state of a system can be steered (and kept inside once reached) is provided, when bounded disturbances are present. A non-LMI geometric ... [+]
In this paper, an approximation of the smallest set (in a given norm) to which the state of a system can be steered (and kept inside once reached) is provided, when bounded disturbances are present. A non-LMI geometric polytope-manipulation approach is pursued over a Takagi-Sugeno model in order to solve this disturbance-rejection setup. Once this set is available, the techniques in this paper compute, too, explicit controllers driving initial conditions to such set, as well as controllers that make this set invariant. This work generalises the earlier particular undisturbed case (i.e., just stabilization) developed in Ariño et al. (2017b). [-]
Descripción
Comunicació presentada a ICONS 2019 5th IFAC Intelligent Control and Automation Sciences (August 21-23, 2019, Queen’s University Belfast, Northern Ireland)
Proyecto de investigación
Spanish Ministry of Economy and European Union, grant DPI2016-81002-R, nowadays managed by the Ministry of Science, Innovation and UniversitiesDerechos de acceso
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