Robust Nonlinear Reduced-Order Model Predictive Control

Real-world systems are often characterized by high-dimensional nonlinear dynamics, making them challenging to control in real time. While reduced-order models (ROMs) are frequently employed in model-based control schemes, dimensionality reduction introduces model uncertainty which can potentially co...

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Veröffentlicht in:	arXiv.org 2023-09
Hauptverfasser:	Alora, John Irvin, Pabon, Luis A, Köhler, Johannes, Cenedese, Mattia, Schmerling, Ed, Zeilinger, Melanie N, Haller, George, Pavone, Marco
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic methods Constraints Control systems Dynamical systems Error reduction Model reduction Nonlinear control Nonlinear dynamics Nonlinear systems Optimal control Predictive control Reduced order models Robustness Stability
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