Reduced-Order Modelling for Flow Control [recurso electrónico] / edited by Bernd R. Noack, Marek Morzynski, Gilead Tadmor.
Tipo de material:
TextoSeries CISM Courses and Lectures ; 528Editor: Vienna : Springer Vienna, 2011Descripción: X, 330 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783709107584Tema(s): Physics | Hydraulic engineering | Physics | Fluid- and Aerodynamics | Mathematical Modeling and Industrial Mathematics | Engineering Fluid Dynamics | ControlFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 532 | 533.62 Clasificación LoC:QC138-168.86QA930Recursos en línea: Libro electrónico
En: Springer eBooksResumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QC138 -168.86 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 377002-2001 |
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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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