@inproceedings{36bd62d99ce64e3b900b6e815689c21d,
title = "Robust self-triggered min-max model predictive control for linear discrete-time systems",
abstract = "In this paper, we propose a self-triggered robust model predictive control (MPC) algorithm for constrained linear discrete-time systems subject to additive disturbances. First, worst case scenarios are considered in the MPC problem formulation to achieve robust constraint satisfaction. Second, a self-triggered control scheduler is proposed to minimize the frequency of performing optimization and the closed-loop system is shown to be recursive feasible and input-to-state practical stable in its region of attraction. Finally, a numerical example demonstrates the effectiveness of the proposed control strategy.",
keywords = "linear discrete-time systems, model predictive control (MPC), robust control, Self-triggered control",
author = "Changxin Liu and Jian Gao and Huiping Li and Demin Xu",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028068",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4512--4516",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
}