@Article{CMR-25-299,
author = {Li , Junling and Zhang , Shugong},
title = {Feasibility and Stability of a Kind of Model Predictive Control with Additive Uncertainties},
journal = {Communications in Mathematical Research },
year = {2021},
volume = {25},
number = {4},
pages = {299--308},
abstract = {<p style="text-align: justify;">In this paper the feasibility and stability of open-loop min-max model
predictive control (OL-MMMPC) for systems with additive bounded uncertainties
are considered. It is found that the OL-MMMPC may be infeasible and unstable if
it is initially feasible. A sufficient condition for feasibility and stability of the OL-MMMPC is presented. Then an improved OL-MMMPC algorithm is proposed, which
guarantees the robust stability of the closed-loop system once it is initially feasible.
The effectiveness of this algorithm is illustrated by a simulation example.</p>},
issn = {2707-8523},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/cmr/19349.html}
}