Artículo
MPC for tracking with maximum domain of attraction
Anderson, Alejandro Luis
; D'jorge, Agustina
; González, Alejandro Hernán
; Ferramosca, Antonio
; Actis, Marcelo Jesús
Fecha de publicación:
10/2019
Editorial:
Cornell University
Revista:
arXiv
ISSN:
2331-8422
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
This paper presents a novel set-based model predictive control for tracking, with the largest domain of attraction. The formulation - which consists of a single optimization problem - shows a dual behavior: one operating inside the maximal controllable set to the feasible equilibrium set, and the other operating at the N-controllable set to the same equilibrium set. Based on some finite-time convergence results, global stability of the resulting closed-loop is proved, while recursive feasibility is ensured for any change of the set point. The properties and advantages of the controller have been tested on simulation models.
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Articulos(CCT - SANTA FE)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SANTA FE
Articulos(INTEC)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Articulos de INST.DE DES.TECNOL.PARA LA IND.QUIMICA (I)
Citación
Anderson, Alejandro Luis; D'jorge, Agustina; González, Alejandro Hernán; Ferramosca, Antonio; Actis, Marcelo Jesús; MPC for tracking with maximum domain of attraction; Cornell University; arXiv; 10-2019; 1-12
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