Synopses & Reviews
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
Synopsis
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
Synopsis
"This book contains a collection of modern anti-windup algorithms. It is aimed at practicing control engineers as well as graduate students. The reader will learn the objectives and terminology of the anti-windup problem, will be exposed to the mathematics behind anti-windup synthesis, and will gain exposure to a variety of anti-windup algorithms, which are illustrated through examples"--
Synopsis
"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
Synopsis
"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
Synopsis
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
Synopsis
"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
About the Author
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.