EBOOK

Modern Anti-Windup Synthesis
Control Augmentation for Actuator Saturation
Luca ZaccarianSeries: Princeton Series in Applied Mathematics(0)
About
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.
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
"This book goes a long way toward providing comprehensive coverage of systematic procedures for anti-windup synthesis, emphasizing algorithmic issues and modern design techniques. A valuable resource for researchers and practitioners, it should interest a broad audience in control engineering, as well as in other disciplines, such as mechanical and chemical engineering."-Prodromos Daoutidis, University of Minnesota
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
"This book goes a long way toward providing comprehensive coverage of systematic procedures for anti-windup synthesis, emphasizing algorithmic issues and modern design techniques. A valuable resource for researchers and practitioners, it should interest a broad audience in control engineering, as well as in other disciplines, such as mechanical and chemical engineering."-Prodromos Daoutidis, University of Minnesota
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Extended Details
- SeriesPrinceton Series in Applied Mathematics #36