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Deep Dynamical Modeling and Control of Unsteady Fluid Flows

NeurIPS 2018 · Probabilistic and scientific modeling › Dynamical systems · approach: Stable contractive dynamics · 106 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train the dynamics model with recursive multi-step predictions rather than single-step predictions (ablation)Deep Koopman · Cylinder flow, 32-step sequencesrelative prediction error over timeHelped
Use a learned Koopman-invariant state mapping for predictionDeep Koopman · Cylinder flow, beyond the 32-step horizonrelative prediction errorHelped
Replace the Deep Koopman model with Deep VBFUnforced cylinder-flow modeling · Cylinder flow, beyond the 32-step horizonrelative prediction errorHurt
Apply proportional control using y-velocity at the location d*Cylinder flow control · Cylinder flow at Reynolds number 50momentum residualsHelped
Move the proportional-control measurement location to 1/2 d* or 2 d*Cylinder flow control · Cylinder flow at Reynolds number 50momentum residualsHurt

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