.png){kind=icon}
Return
Model predictive control with implicit terminal ingredients
.png){kind=icon}
PRE
AI
DOI：10.1016/j.automatica.2023.110942.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
This paper proposes a new formulation of model predictive control for linear discrete time systems under state and control constraints. The main novelty of the proposed formulation is the introduction, and a computationally adequate utilization, of the implicit terminal constraint set and the implicit terminal cost function. From a numerical point of view, the deployment of the implicit terminal ingredients enables a computationally tractable use of model predictive control for higher dimensional control problems. From a practical point of view, the design of the proposed model predictive control algorithm is very constructive for a class of linear systems with polyhedral constraints. From a structural point of view, the proposed model predictive control retains a priori guarantees of the highly desirable positive invariance and exponential stability properties.(c) 2023 Elsevier Ltd. All rights reserved.
Keywords:
Linear systems
Model predictive control
Implicit terminal ingredients
Journal
IF:
5.9
Papers:
1.2W
Citations:
5.2W
Organization
Cited Papers
.png){kind=icon}
ShareSaveShareSaveShareSaveShareSave
View more