Z. Liu and O. Stursberg, “Recursive Feasibility and Stability of MPC with Time-Varying and Uncertain State Constraints,” in 2019 18th European Control Conference (ECC), IEEE, Ed. 2019, pp. 1766–1771.
Abstract
This paper defines conditions for ensuring recursive feasibility and asymptotic stability of Model Predictive Control (MPC) for nonlinear systems subject to time-varying state constraints. Such constraints may arise from interaction with a dynamically evolving environment. For the cases that the change of the constraints is known to be bounded, or that a prediction model for the change of the constraints is available, we provide conditions under which recursive feasibility and asymptotic stability is guaranteed.
BibTex
@INPROCEEDINGS{LS19b,
AUTHOR={Z. Liu and O. Stursberg},
TITLE={{Recursive Feasibility and Stability of MPC with Time-Varying and Uncertain State Constraints}},
BOOKTITLE={Proc. European Control Conference},
YEAR={2019},
PAGES={1766-1771},
COMMENT={noch nicht gemeldet, ISBN: ?, ? Normseiten}}
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