Reduced-Order Modelling for Flow Control

Herausgegeben:Noack, Bernd R.; Morzynski, Marek; Tadmor, Gilead

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• CISM International Centre for Mechanical Sciences 528
• Verlag: Springer / Springer Vienna / Springer, Berlin
• Artikelnr. des Verlages: 978-3-7091-1114-7
• 2011
• Seitenzahl: 340
• Erscheinungstermin: 15. Juli 2013
• Englisch
• Abmessung: 235mm x 155mm x 19mm
• Gewicht: 514g
• ISBN-13: 9783709111147
• ISBN-10: 3709111145
• Artikelnr.: 38513380

Inhaltsangabe

L. Cordier: Flow control and constrained optimization problems. - M. Morzynski, B. R. Noack, G. Tadmor: Global stability analysis for linear dynamics. - B. R. Noack, M. Schlegel, M. Morzynski, G. Tadmor: Galerkin method for nonlinear dynamics. - G. Tadmor, O. Lehmann, B. R. Noack, M. Morzynski: Galerkin models enhancements for flow control. - S. Siegel: Feedback flow control in experiments for flow control. - S. Siegel: Feedback flow control in experiment and simulation using global neural network based models. - R. King: Optimal closed-loop approaches in flow control.

---

L. Cordier: Flow control and constrained optimization problems. - M. Morzynski, B. R. Noack, G. Tadmor: Global stability analysis for linear dynamics. - B. R. Noack, M. Schlegel, M. Morzynski, G. Tadmor: Galerkin method for nonlinear dynamics. - G. Tadmor, O. Lehmann, B. R. Noack, M. Morzynski: Galerkin models enhancements for flow control. - S. Siegel: Feedback flow control in experiments for flow control. - S. Siegel: Feedback flow control in experiment and simulation using global neural network based models. - R. King: Optimal closed-loop approaches in flow control.