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.
Reduced-Order Modelling for Flow Control
Table of contents
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.
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