Dead-beat model predictive control for discrete-time linear systems
Optimization and Control
2022-08-31 v1 Systems and Control
Systems and Control
Abstract
In this paper, model predictive control (MPC) strategies are proposed for dead-beat control of linear systems with and without state and control constraints. In unconstrained MPC, deadbeat performance can be guaranteed by setting the control horizon to the system dimension, and adding an terminal equality constraint. It is proved that the unconstrained deadbeat MPC is equivalent to linear deadbeat control. The proposed constrained deadbeat MPC is designed by setting the control horizon equal to the system dimension and penalizing only the terminal cost. The recursive feasibility and deadbeat performance are proved theoretically.
Cite
@article{arxiv.2208.14372,
title = {Dead-beat model predictive control for discrete-time linear systems},
author = {Bing Zhu},
journal= {arXiv preprint arXiv:2208.14372},
year = {2022}
}