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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Detalles Bibliográficos
Autor Corporativo: SpringerLink (-)
Otros Autores: Noack, Bernd R. (-), Morzyński, Marek, Tadmor, Gilead
Formato: Libro electrónico
Idioma:Inglés
Publicado: Vienna : Springer Vienna 2011.
Colección:CISM Courses and Lectures ; 528.
Springer eBooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b33050454*spi
Descripción
Sumario: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.
Descripción Física:X, 330 p.
Formato:Forma de acceso: World Wide Web.
ISBN:9783709107584