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Reduced-Order Modelling for Flow Control

  • Book
  • © 2011

Overview

Editors:
  1. Bernd R. Noack

    1. Institut Pprime, Poitiers, France

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    You can also search for this editor in PubMed   Google Scholar

  2. Marek Morzyński

    1. Poznan University of Technology, Poznan, Poland

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    You can also search for this editor in PubMed   Google Scholar

  3. Gilead Tadmor

    1. Northeastern University, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

  • 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 the modelling and control strategy

Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 528)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-ix
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  2. Flow control and constrained optimization problems

    • Laurent Cordier
    Pages 1-76

  3. Global Stability Analysis for Linear Dynamics

    • Marek Morzyński, Bernd R. Noack, Gilead Tadmor
    Pages 77-110

  4. Galerkin Method for Nonlinear Dynamics

    • Bernd R. Noack, Michael Schlegel, Marek Morzynski, Gilead Tadmor
    Pages 111-149

  5. Galerkin Models Enhancements for Flow Control

    • Gilead Tadmor, Oliver Lehmann, Bernd R. Noack, Marek Morzyński
    Pages 151-252

  6. Feedback Flow Control in Experiment and Simulation Using Global Neural Network Based Models

    • Stefan Siegel
    Pages 253-286

  7. Optimal Closed-Loop Approaches in Flow Control

    • Rudibert King
    Pages 287-327
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Keywords

About this book

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.

Editors and Affiliations

  • Institut Pprime, Poitiers, France

    Bernd R. Noack

  • Poznan University of Technology, Poznan, Poland

    Marek Morzyński

  • Northeastern University, Boston, USA

    Gilead Tadmor

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