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Reduced-Order Modelling for Flow Control

Reduced-Order Modelling for Flow Control

Authors
Publisher Springer Nature
Year 25/05/2011
Edition First
Version eBook: Fixed Page eTextbook (PDF)
Language English
ISBN 9783709107584
Categories Applied mathematics, Fluid mechanics, Mechanical engineering & materials, Automatic control engineering
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Book description

The book focuses on the physical and mathematical foundations of model-based turbulence control: reduced-order modelling and control design in simulations and experiments. Leading experts provide elementary self-consistent descriptions of the main methods and outline the state of the art. Covered areas include optimization techniques, stability analysis, nonlinear reduced-order modelling, model-based control design as well as model-free and neural network approaches. The wake stabilization serves as unifying benchmark control problem.

Reduced-Order Modelling for Flow Control

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