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Data/moment-driven approaches for fast predictive control of collective dynamics
The high-dimensional character of collective dynamics hampers the performance of traditional MPC algorithms based on fast online dynamic optimization at every time step.
Gradient-augmented Supervised Learning of Optimal Feedback Laws Using State-dependent Riccati Equations
A supervised learning approach for the solution of large-scale nonlinear stabilization problems is presented.
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