Learning Constrained Adaptive Differentiable Predictive Control Policies With Guarantees

We present differentiable predictive control (DPC), a method for learning constrained neural control policies for linear systems with probabilistic performance guarantees. We employ automatic differentiation to obtain direct policy gradients by backpropagating the model predictive control (MPC) loss...

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Hauptverfasser:	Drgona, Jan, Tuor, Aaron, Vrabie, Draguna
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Neural and Evolutionary Computing Computer Science - Systems and Control
Online-Zugang:	Volltext bestellen
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