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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Noack, Bernd R. (Editor), Morzyński, Marek (Editor), Tadmor, Gilead (Editor)
Format: Electronic eBook
Language:English
Published: Vienna : Springer Vienna, 2011.
Series:CISM Courses and Lectures, 528
Subjects:
Online Access:Full Text via HEAL-Link
Description
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.
Physical Description:X, 330 p. online resource.
ISBN:9783709107584
ISSN:0254-1971 ;