Bültmann & Gerriets
Modern Anti-windup Synthesis
Control Augmentation for Actuator Saturation
von Luca Zaccarian
Verlag: Princeton University Press
Reihe: Princeton Series in Applied Mathematics
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Kopierschutz: Adobe DRM


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ISBN: 978-1-4008-3902-5
Erschienen am 11.07.2011
Sprache: Englisch
Umfang: 304 Seiten

Preis: 88,99 €

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Inhaltsverzeichnis
Klappentext
Biografische Anmerkung


  • FrontMatter,
  • Contents,
  • Preface,
  • Arlgorithms Summary,
  • Chapter One. The Windup Phenomenon and Anti-windup Illustrated,
  • Chapter Two. Anti-windup: Definitions, Objectives, and Architectures,
  • Chapter Three. Analysis and Synthesis of Feedback Systems: Quadratic Functions and LMIs,
  • Chapter Four. Static Linear Anti-windup Augmentation,
  • Chapter Five. Dynamic Linear Anti-windup Augmentation,
  • Chapter Six. The MRAW Framework,
  • Chapter Seven. Linear MRAW Synthesis,
  • Chapter Eight. Nonlinear MRAVV Synthesis,
  • Chapter Nine. The MRAVV Structure Applied to Other Problems,
  • Chapter Ten. Anti-windup for Euler-Lagrange Plants,
  • Chapter Eleven. Annotated Bibliography,
  • Index,




This book provides a wide variety of state-space--based numerical algorithms for the synthesis of feedback algorithms for linear systems with input saturation. Specifically, it addresses and solves the anti-windup problem, presenting the objectives and terminology of the problem, the mathematical tools behind anti-windup algorithms, and more than twenty algorithms for anti-windup synthesis, illustrated with examples. Luca Zaccarian and Andrew Teel's modern method--combining a state-space approach with algorithms generated by solving linear matrix inequalities--treats MIMO and SISO systems with equal ease. The book, aimed at control engineers as well as graduate students, ranges from very simple anti-windup construction to sophisticated anti-windup algorithms for nonlinear systems.


  • Describes the fundamental objectives and principles behind anti-windup synthesis for control systems with actuator saturation

  • Takes a modern, state-space approach to synthesis that applies to both SISO and MIMO systems

  • Presents algorithms as linear matrix inequalities that can be readily solved with widely available software

  • Explains mathematical concepts that motivate synthesis algorithms

  • Uses nonlinear performance curves to quantify performance relative to disturbances of varying magnitudes

  • Includes anti-windup algorithms for a class of Euler-Lagrange nonlinear systems

  • Traces the history of anti-windup research through an extensive annotated bibliography



Luca Zaccarian is associate professor of control engineering at the University of Rome, Tor Vergata. Andrew R. Teel is a professor in the Electrical and Computer Engineering Department at the University of California, Santa Barbara.


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