@inproceedings{7d2a3d319b374d15aa703a86fd4f8db6,
title = "Event-Triggered Model Predictive Control for Linear Systems with Bounded Disturbance",
abstract = "The event-triggered model predictive control problem for linear systems with bounded disturbance is investigated in this paper. A new event-triggered mechanism is proposed to save the computational resources during solving the MPC optimization problem. The iterative feasibility and stability of closed-loop system are rigorously derived, which is related to the disturbance. Finally, numerical simulation results are shown to illustrate the effectiveness of proposed algorithm.",
keywords = "Bounded disturbance, Computational resources, Event-triggered mechanism, Linear systems, Model predictive control",
author = "Baojia Li and Pingli Lu and Changkun Du and Haikuo Liu",
note = "Publisher Copyright: {\textcopyright} 2022 Technical Committee on Control Theory, Chinese Association of Automation.; 41st Chinese Control Conference, CCC 2022 ; Conference date: 25-07-2022 Through 27-07-2022",
year = "2022",
doi = "10.23919/CCC55666.2022.9902644",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "279--284",
editor = "Zhijun Li and Jian Sun",
booktitle = "Proceedings of the 41st Chinese Control Conference, CCC 2022",
address = "United States",
}