Overview
- Provides the industry-based control engineer with a practical reference for designing and implementing iterative learning control systems in their own plants based on many practical examples
- Gives the academic researcher systematic formulation and necessary analysis for the solution of a variety of iterative learning control problems and gives an easy-to-access listing of open issues for further research
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Real-time Iterative Learning Control
Book Subtitle: Design and Applications
Authors: Jian-Xin Xu, Sanjib K. Panda, Tong Heng Lee
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-84882-175-0
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84882-174-3Published: 23 December 2008
Softcover ISBN: 978-1-84996-824-9Published: 21 October 2010
eBook ISBN: 978-1-84882-175-0Published: 12 December 2008
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XVI, 194
Topics: Control and Systems Theory, Industrial Chemistry/Chemical Engineering, Manufacturing, Machines, Tools, Processes, Engineering Design, Electronics and Microelectronics, Instrumentation