Uncertainty-aware data-driven predictive control in a stochastic setting

Data-Driven Predictive Control (DDPC) has been recently proposed as an effective alternative to traditional Model Predictive Control (MPC), in that the same constrained optimization problem can be addressed without the need to explicitly identify a full model of the plant. However, DDPC is built upo...

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Veröffentlicht in:	arXiv.org 2023-08
Hauptverfasser:	Breschi, Valentina, Fabris, Marco, mentin, Simone, Chiuso, Alessandro
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Systems and Control Error analysis Noise measurement Optimization Predictive control Regularization Statistical analysis Uncertainty
Online-Zugang:	Volltext
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