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Distributed Performance Boosting through Neural Control for Plug-and-Play Networks

Saccani, Danilo et al.
arXiv (All) · Papers
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machine-learningoptimization-and-controlsystems-and-control
We address the problem of improving the performance of pre-stabilized networked systems subject to plug-and-play (PnP) operations, namely additions or removals of subsystems. While distributed baseline controllers can preserve stability after a PnP transition, augmenting them with expressive neural
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