Reduced-Order Modelling for Flow Control
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 ar...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Vienna
Springer Vienna
2011, 2011
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Edition: | 1st ed. 2011 |
Series: | CISM International Centre for Mechanical Sciences, Courses and Lectures
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Summary: | 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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Physical Description: | X, 330 p online resource |
ISBN: | 9783709107584 |