Netzgewahre Regelung & regelungsgewahre Netze

Überblick

Key Facts

Laufzeit:
08/2016 - 07/2019
Gefördert durch:
DFG
Website:
Homepage

Detailinformationen

Projektleitung

Publikationen

Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication
A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022.
Distributed optimization over time-varying networks with stochastic information delays
A. Ramaswamy, A. Redder, D.E. Quevedo, IEEE Transactions on Automatic Control (2021) 1–1.
Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems
A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).
Modelling Time-Limited Capacity of a Wireless Channel as aMarkov Reward Process
B. Shiferaw Heyi, H. Karl, in: Proc. of IEEE Wireless Communications and Networking Conference (WCNC), 2018.
DeepCAS: A Deep Reinforcement Learning Algorithm for Control-Aware Scheduling
B. Demirel, A. Ramaswamy, D. Quevedo, H. Karl, in: 2018.
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