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Published in 2023 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2023.3248944
Abstract: A neural architecture to efficiently coordinate the transitions of state variables (states) over a graph is proposed. We consider the coordination of the time evolution of the state variables associated with the nodes on a…
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Keywords:
state;
dynamics learning;
coordination;
constrained dynamics ... See more keywords