3 papers
math.OC2019
Control of chaotic systems by Deep Reinforcement Learning
Michele Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen +3
Deep Reinforcement Learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto-Sivashinsky (KS) equation. DRL uses reinforcement learn…
physics.flu-dyn2019
On the relevance of Reynolds stresses in resolvent analyses of turbulent wall-bounded flows
Pierluigi Morra, Onofrio Semeraro, Dan S. Henningson +1
The ability of linear stochastic response analysis to estimate coherent motions is investigated in turbulent channel flow at friction Reynolds number Re = 1007. The analysis is…
physics.flu-dyn2018
Resolvent-based modelling of coherent wavepackets in a turbulent jet
Lutz Lesshafft, Onofrio Semeraro, Vincent Jaunet +2
Coherent turbulent wave-packet structures in a jet at Reynolds number 460000 and Mach number 0.4 are extracted from experimental measurements and are modeled as linear fluctuations…