Reduced-Order Modelling for Flow Control [Paperback]

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.

This 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 guide readers through the methods and cover the latest methods.

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.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.first book with successful strategies for closed-loop turbulence control &l%