Sort by
Refine Your Search
-
Category
-
Country
-
Field
-
, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
-
, feedback optimization, distributed control, consensus protocols, nonlinear control, robust control, with application to energy systems (e.g. smart grids, district heating, hydrogen networks) and traffic
Searches related to nonlinear systems
Enter an email to receive alerts for nonlinear-systems "Prof" positions