Reduced-Order Modelling for Flow Control [electronic resource] / edited by Bernd R. Noack, Marek Morzyński, Gilead Tadmor.
By: Noack, Bernd R [editor.].
Contributor(s): Morzyński, Marek [editor.] | Tadmor, Gilead [editor.] | SpringerLink (Online service).
Material type:
BookSeries: CISM Courses and Lectures: 528Publisher: Vienna : Springer Vienna, 2011Description: X, 330 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783709107584.Subject(s): Physics | Hydraulic engineering | Physics | Fluid- and Aerodynamics | Mathematical Modeling and Industrial Mathematics | Engineering Fluid Dynamics | ControlDDC classification: 532 | 533.62 Online resources: Click here to access online
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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.
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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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