Authors: Alejandro Anderson; Agustina D'Jorge; Antonio Ferramosca; Ernesto Kofman; Alejandro Hernan Gonzalez.
Title: i-Steps Closed-Loop Sets for Constrained Linear Systems Under Model Predictive Control.
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 . The main results are exposed in a theoretical context, however several simulation examples show its potential and properties.
Meeting type: Congreso.
Type of job: Artículo Completo.
Production: i-Steps Closed-Loop Sets for Constrained Linear Systems Under Model Predictive Control.
Scientific meeting: 2018 Argentine Conference on Automatic Control (AADECA).
Meeting place: Buenos Aires.
It's published?: Yes
Publication place: Buenos Aires
Meeting month: 11