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Titlebook: Reduced-Order Modelling for Flow Control; Bernd R. Noack,Marek Morzyński,Gilead Tadmor Book 2011 CISM Udine 2011 flow control.model-based

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發(fā)表于 2025-3-21 17:24:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Reduced-Order Modelling for Flow Control
編輯Bernd R. Noack,Marek Morzyński,Gilead Tadmor
視頻videohttp://file.papertrans.cn/825/824537/824537.mp4
概述first book with successful strategies for closed-loop turbulence control.written by leading international researchers and scholars.good introductory reading due to a focus on exemplified principles of
叢書名稱CISM International Centre for Mechanical Sciences
圖書封面Titlebook: Reduced-Order Modelling for Flow Control;  Bernd R. Noack,Marek Morzyński,Gilead Tadmor Book 2011 CISM Udine 2011 flow control.model-based
描述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.
出版日期Book 2011
關鍵詞flow control; model-based control design; optimization techniques; reduced-order modelling; fluid- and a
版次1
doihttps://doi.org/10.1007/978-3-7091-0758-4
isbn_softcover978-3-7091-1114-7
isbn_ebook978-3-7091-0758-4Series ISSN 0254-1971 Series E-ISSN 2309-3706
issn_series 0254-1971
copyrightCISM Udine 2011
The information of publication is updating

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Gilead Tadmor,Oliver Lehmann,Bernd R. Noack,Marek Morzyński
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Galerkin Models Enhancements for Flow Control,ly and physically consistent modeling framework, that remove what are otherwise intractable roadblocks. We shall then highlight some guiding design principles that are especially important in the context of these models. We shall continue to use the simple example of wake flow instabilities to illus
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Reduced-Order Modelling for Flow Control978-3-7091-0758-4Series ISSN 0254-1971 Series E-ISSN 2309-3706
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Galerkin Method for Nonlinear Dynamics, King in this volume. Focus is placed on empirical ROM which compress flow data in the proper orthogonal decomposition (POD). The chapter shall provide a complete description for construction of straight-forward ROM as well as the physical understanding and teste
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