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Advances in Industrial Control

Real-time Iterative Learning Control

Design and Applications

Authors: Xu, Jian-Xin, Panda, Sanjib Kumar, Lee, Tong Heng

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  • 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
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eBook $129.00
price for USA in USD
  • ISBN 978-1-84882-175-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
Softcover $169.99
price for USA in USD
About this book

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.

Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-1-84882-175-0
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
Softcover $169.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Real-time Iterative Learning Control
Book Subtitle
Design and Applications
Authors
Series Title
Advances in Industrial Control
Copyright
2009
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84882-175-0
DOI
10.1007/978-1-84882-175-0
Hardcover ISBN
978-1-84882-174-3
Softcover ISBN
978-1-84996-824-9
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XVI, 194
Topics