Pages that link to "Item:Q343034"
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The following pages link to Machine learning control -- taming nonlinear dynamics and turbulence (Q343034):
Displaying 30 items.
- Control of linear instabilities by dynamically consistent order reduction on optimally time-dependent modes (Q783348) (← links)
- Embedding data analytics and CFD into the digital twin concept (Q2028120) (← links)
- A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings (Q2129328) (← links)
- Reduced order modelling for a rotor-stator cavity using proper orthogonal decomposition (Q2245198) (← links)
- Multiobjective optimal control methods for the Navier-Stokes equations using reduced order modeling (Q2422337) (← links)
- A stabilized POD model for turbulent flows over a range of Reynolds numbers: optimal parameter sampling and constrained projection (Q2425266) (← links)
- Principles of turbulence control (Q2808523) (← links)
- Sparse reduced-order modelling: sensor-based dynamics to full-state estimation (Q4563901) (← links)
- Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control (Q4628789) (← links)
- Upstream actuation for bluff-body wake control driven by a genetically inspired optimization (Q4960802) (← links)
- Data-Driven Model Predictive Control using Interpolated Koopman Generators (Q4983502) (← links)
- Stabilization of the fluidic pinball with gradient-enriched machine learning control (Q4987910) (← links)
- 9 From the POD-Galerkin method to sparse manifold models (Q4993250) (← links)
- Automated Nonlinear Control Structure Design by Domain of Attraction Maximization with Eigenvalue and Frequency Domain Specifications (Q5053554) (← links)
- Machine Learning and Control Theory (Q5097114) (← links)
- Artificial intelligence control of a turbulent jet (Q5114278) (← links)
- The structure of reconstructed flows in latent spaces (Q5139746) (← links)
- Learning the tangent space of dynamical instabilities from data (Q5205672) (← links)
- Optimal control of a separated boundary-layer flow over a bump (Q5226979) (← links)
- Metric for attractor overlap (Q5229750) (← links)
- Data-driven construction of a reduced-order model for supersonic boundary layer transition (Q5229773) (← links)
- Cluster-based feedback control of turbulent post-stall separated flows (Q5231442) (← links)
- (Q5242375) (← links)
- Multi-scale proper orthogonal decomposition of complex fluid flows (Q5379062) (← links)
- Reinforcement-learning-based control of convectively unstable flows (Q5870478) (← links)
- Comparative analysis of machine learning methods for active flow control (Q5882038) (← links)
- Self-tuning model predictive control for wake flows (Q6204881) (← links)
- Jet mixing enhancement with Bayesian optimization, deep learning and persistent data topology (Q6595272) (← links)
- Differential equations in data analysis (Q6602133) (← links)
- Turbulence control: from model-based to machine learned (Q6610454) (← links)