Reduced-Order Modelling for Flow Control [electronic resource] / edited by Bernd R. Noack, Marek Morzyński, Gilead Tadmor.

Contributor(s):

Series: CISM Courses and Lectures ; 528Publisher: Vienna : Springer Vienna, 2011Description: X, 330 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783709107584

Subject(s):

Genre/Form:

Electronic books.

Additional physical formats: Printed edition:: No titleDDC classification:

532 23
533.62 23

LOC classification:

QC138-168.86
QA930

Online resources:

Click here to access online

In: Springer eBooksSummary: 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.

Item type:

eBooks

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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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