Detalle del congreso
Autores: Alejandro Anderson; Agustina D'Jorge; Antonio Ferramosca; Ernesto Kofman; Alejandro Hernan Gonzalez.
Resumen: The understanding of invariant set theory is essential in the design of controllers for constrained systems. This paper presents some concepts related with the invariant set theory and Set-Based Model Predictive Control (set-based MPC). Precisely, introduces a new class of sets from where the closed-loop system reaches a target set before a pre-established number of steps. These novel concepts are based on several results presented in a former work [1]. The main results are exposed in a theoretical context, however several simulation examples show its potential and properties.
Tipo de reunión: Congreso.
Tipo de trabajo: Artículo Completo.
Producción: i-Steps Closed-Loop Sets for Constrained Linear Systems Under Model Predictive Control.
Reunión científica: 2018 Argentine Conference on Automatic Control (AADECA).
Lugar: Buenos Aires.
Publicado: Sí
Lugar publicación: Buenos Aires
Mes de reunión: 11
Página web: aquí