Learning Constrained Resource Allocation Policies in Wireless Control Systems

Emerging applications in IoT systems employ wireless communication networks to exchange data between spatially distributed components of a control system. As wireless networks are noisy and subject to packet losses - which might impact the operation of the control system - proper distribution of com...

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Veröffentlicht in:	Proceedings of the IEEE Conference on Decision & Control S. 2615 - 2621
Hauptverfasser:	Lima, Vinicius, Eisen, Mark, Ribeiro, Alejandro
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.12.2020
Schlagworte:	constrained learning Control systems Dynamic scheduling Fading channels Reinforcement learning Reliability resource allocation Resource management Wireless control Wireless networks
ISSN:	2576-2370
Online-Zugang:	Volltext
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