Author

Miguel Pérez Cuadrado

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Preprint Jul 2026

Manifold-adapted radial basis functions for reduced-order modelling of chaotic flows

Chaotic systems often evolve on a low-dimensional attractor whose geometry varies from one region to another. We propose a non-intrusive reduced-order model that reads this local geometry by clustering and uses it to shape a radial basis library whose kernels adapt to each region. Fitting the reduced velocity onto this...

Miguel Pérez Cuadrado, Giorgio Maria Cavallazzi, Alfredo Pinelli · 0 citations

Preprint Jul 2026

Gradient-free learning of a closed-loop wall controller for turbulent drag reduction

Closed-loop wall controllers learnt by multi-agent reinforcement learning are usually trained on periodic boxes far smaller than the flows they are meant to drive, and a large part of their drag reduction is lost when they are carried across. Retraining on the target domain is not an affordable remedy: the centralised...

Giorgio Maria Cavallazzi, Miguel Pérez Cuadrado, Alfredo Pinelli · 0 citations