Congress detail

Authors: 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.

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

Link: here