Producción CyT
Proceedings del Congreso Argentino de Control Automático (AADECA 2018) - i Steps Closed-Loop Steerable Sets for Constrained Linear Systems under Model Predictive Control
Congreso
Autoría:
Anderson, Alejandro ; D'Jorge, Agustina ; Ferramosca, Antonio ; Kofman, Ernesto ; González, Alejandro HernánFecha:
2020Editorial y Lugar de Edición:
AADECAResumen *
The understanding of invariant set theory is essentialin the design of controllers for constrained systems. Inthis paper, some notions of the invariant set theory and set-basedMPC controllers are briefly reviewed and - based on theresults presented in a former work [1] - some state space regionsare defined from which the closed-loop system reaches a giventarget/objective set in a given number of steps. The novel conceptspresented in this work are exposed in a theoretical context butits properties are demonstrated by several simulation examples. Información suministrada por el agente en SIGEVAPalabras Clave
FINITE TIME CONVERGENCEMODEL PREDICTIVE CONTROLI STEPS CLOSED LOOP STEERABLE SETSCONTROLLABLE SETS