Risk-Averse Model Predictive Control for Racing in Adverse Conditions

Model predictive control (MPC) algorithms can be sensitive to model mismatch when used in challenging nonlinear control tasks. In particular, the performance of MPC for vehicle control at the limits of handling suffers when the underlying model overestimates the vehicle's capabilities. In this...

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Bibliographische Detailangaben

Hauptverfasser:	Lew, Thomas, Greiff, Marcus, Djeumou, Franck, Suminaka, Makoto, Thompson, Michael, Subosits, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Robotics Computer Science - Systems and Control Mathematics - Optimization and Control
Online-Zugang:	Volltext bestellen
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