Kernel-based Learning for Safe Control of Discrete-Time Unknown Systems under Incomplete Observations

Safe control for dynamical systems is critical, yet the presence of unknown dynamics poses significant challenges. In this paper, we present a learning-based control approach for tracking control of a class of high-order systems, operating under the constraint of partially observable states. The unc...

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Hauptverfasser:	Yang, Zewen, Dai, Xiaobing, Yang, Weijie, İlgen, Bahar, Anžel, Aleksandar, Hattab, Georges
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Systems and Control
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