Druck auf Anfrage Neuware - Printed after ordering - 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.

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Bibliographic Details

Title: Reduced-Order Modelling for Flow Control
Publisher: Springer Vienna
Publication Date: 2011
Language: English
ISBN 10: 3709107571
ISBN 13: 9783709107577
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 24 millimeters depth
Weight: 676 grams

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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.

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