Real-time Iterative Learning Control: Design and Applications (Advances in Industrial Control) - Softcover

Xu, Jian-Xin; Panda, Sanjib K.; Lee, Tong Heng

Softcover

ISBN 10: 1849968241 ISBN 13: 9781849968249

Verlag: Springer, 2010

Inhaltsangabe

Real-time Iterative Learning Control demonstrates how the latest advances in iterative learning control (ILC) can be applied to a number of plants widely encountered in practice. The book gives a systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in linear and nonlinear plants pervading mechatronics and batch processes are addressed, in particular: ILC design in the continuous- and discrete-time domains; design in the frequency and time domains; design with problem-specific performance objectives including robustness and optimality; design in a modular approach by integration with other control techniques; and design by means of classical tools based on Bode plots and state space.

Über diesen Titel

Über die Autorin bzw. den Autor

Professor Jian-Xin Xu received the Bachelor degree from Zhejiang University, China in 1982. He attended the University of Tokyo, Japan, where he received Master's and PhD degrees in 1986 and 1989 respectively. All degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory, Japan; for more than one year in Ohio State University, U.S.A. as a Visiting Scholar; and for 6 months in Yale University as a Visiting Research Fellow. In 1991 Professor Xu joined the National University of Singapore and is currently a professor at Department of Electrical and Computer Engineering. His research interests lie in the fields of intelligent and robust control and applications to motion control, mechatronics, and robotics. He is a Fellow of IEEE. Up to now he produced more than 500 peer-reviewed journal and conference papers, 2 monographs and 3 edited books. He has been supervising/co-supervising 29 PhD, 20 Master students, and 15 research staff including postdoctoral fellows and research fellows. He has completed 20 funded research projects and currently he work on AUV biomimetic locomotion and control. Dr Khalid Abidi received his BSc. degree in Mechanical Engineering from the Middle East Technical University, Ankara, Turkey in 2002 and the MSc. degree in Electrical Engineering and Computer Science from Sabanci University, Istanbul, Turkey in 2004. He obtained his PhD degree in Electrical and Computer Engineering, specializing in the area of Control Engineering, from the National University of Singapore in 2009. Dr Abidi is currently a lecturer of Electrical Power Engineering at Newcastle University based in Singapore. Prior to joining Newcastle University Dr Abidi worked as an Assistant Professor of Mechatronics Engineering at Bahcesehir University, Istanbul, Turkey from September 2009 until June 2014. His research interests include: Theory and modelling of dynamical systems, Discrete-Time systems, Time-delay systems, Learning Control, Robust Control, Applied Nonlinear Control, Robotics and Mechatronic Systems.

Von der hinteren Coverseite

Iterative learning control (ILC) has been a major control design methodology for twenty years; numerous algorithms have been developed to solve real-time control problems, from MEMS to batch reactors, characterised by repetitive control operations.

Real-time Iterative Learning Control demonstrates how the latest advances in ILC can be applied to a number of plants widely encountered in practice. The authors provide a hitherto lacking systematic introduction to real-time ILC design and source of illustrative case studies for ILC problem solving; the fundamental concepts, schematics, configurations and generic guidelines for ILC design and implementation are enhanced by a well-selected group of representative, simple and easy-to-learn example applications. Key issues in ILC design and implementation in the linear and nonlinear plants that pervade mechatronics and batch processes are addressed. In particular, the book discusses:

• ILC design in the continuous- and discrete-time domains;

• design in the frequency and time domains;

• design with problem-specific performance objectives including robustness and optimality;

• design by means of classical tools based on Bode plots and state space; and

• iterative-learning-based parametric identification.

Real-time Iterative Learning Control will interest control engineers looking for examples of how this important control technique can be applied to a variety of real-life problems. With its systematic formulation and analysis of different system properties and performance and its exposition of open problems, academics and graduate students working in control will find it a useful reference to the current status of ILC.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 1849968241
• ISBN 13: 9781849968249
• Einband: Taschenbuch
• Anzahl der Seiten: 212
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland