Modern Anti-windup Synthesis : : Control Augmentation for Actuator Saturation / / Andrew R. Teel, Luca Zaccarian.

• Superior document: Title is part of eBook package: De Gruyter Princeton Series in Applied Mathematics eBook-Package
• VerfasserIn: Zaccarian, Luca,; Teel, Andrew R.,
• Place / Publishing House: Princeton, NJ : : Princeton University Press, , [2011]; ©2011
• Year of Publication: 2011
• Edition: Course Book
• Language: English
• Series: Princeton Series in Applied Mathematics ; 36
• Physical Description: 1 online resource (304 p.) :; 6 halftones. 135 line illus. 5 tables.

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

Table of Contents

Frontmatter -- Contents -- Preface -- Arlgorithms Summary -- Part 1. Preparation -- 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 -- PART 2. Direct Linear Anti-windup Augmentation -- Chapter Four. Static Linear Anti-windup Augmentation -- Chapter Five. Dynamic Linear Anti-windup Augmentation -- PART 3. Model Recovery 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