Andrew R. Teel

Luca Zaccarian

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

Princeton University Press

Princeton Series in Applied Mathematics

Modern Anti-windup Synthesis: Control Augmentation for Actuator Saturation

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