Reduced-Order Modelling for Flow Control

  • Bernd R. Noack
  • Marek Morzyński
  • Gilead Tadmor
Book

Part of the CISM Courses and Lectures book series (CISM, volume 528)

Table of contents

  1. Front Matter
    Pages i-ix
    PDF
  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

About this book

Introduction

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.

Keywords

flow control model-based control design optimization techniques reduced-order modelling

Editors and affiliations

  • Bernd R. Noack
    • 1
  • Marek Morzyński
    • 2
  • Gilead Tadmor
    • 3
  1. 1.Institut PprimePoitiersFrance
  2. 2.Poznan University of TechnologyPoznanPoland
  3. 3.Northeastern UniversityBostonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-0758-4
  • Copyright Information Springer Vienna 2011
  • Publisher Name Springer, Vienna
  • eBook Packages Engineering
  • Print ISBN 978-3-7091-0757-7
  • Online ISBN 978-3-7091-0758-4
  • Series Print ISSN 0254-1971
  • About this book
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