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• W2569532085 abstract "We analyze the robust stability properties of iteration schemes for the algorithmic implementation of model predictive control for linear discrete-time systems. The underlying optimization employs a relaxed barrier function based problem formulation and performs only a limited, possibly arbitrarily small, number of optimization algorithm iterations per sampling instant. Based on the input-to-state stability concept, the resulting overall closed-loop system consisting of system state and optimizer dynamics is shown to be robustly stable with respect to both external and internal disturbances. Implications for the case of certainty equivalence output feedback as well as possible extensions are also discussed." @default.
• W2569532085 created "2017-01-13" @default.
• W2569532085 creator A5058988815 @default.
• W2569532085 creator A5062156162 @default.
• W2569532085 date "2016-12-01" @default.
• W2569532085 modified "2023-09-26" @default.
• W2569532085 title "Robust stability properties of MPC iteration schemes based on relaxed barrier functions" @default.
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• W2569532085 doi "https://doi.org/10.1109/cdc.2016.7798476" @default.
• W2569532085 hasPublicationYear "2016" @default.
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