Skip to main content
SpringerLink
Log in
Book cover

Iterative Learning Control

Convergence, Robustness and Applications

  • Book
  • © 1999

Overview

Editors:
  1. Yangquan Chen
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Changyun Wen
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Provides comprehensive coverage of this new and important area of modern control engineering
  • Several practical applications are demonstrated
  • Both theoretical and practical aspects of ILC are considered

Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 248)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (12 chapters)

  1. Front Matter

    Download chapter PDF

  2. Introduction

    Pages 1-9

  3. High-order iterative learning control of uncertain nonlinear systems with state delays

    Pages 11-25

  4. High-order P-type iterative learning controller using current iteration tracking error

    Pages 27-37

  5. Iterative learning control for uncertain nonlinear discrete-time systems using current iteration tracking error

    Pages 39-55

  6. Iterative learning control for uncertain nonlinear discrete-time feedback systems with saturation

    Pages 57-77

  7. Initial state learning method for iterative learning control of uncertain time-varying systems

    Pages 79-94

  8. High-order terminal iterative learning control with an application to a rapid thermal process for chemical vapor deposition

    Pages 95-104

  9. Designing iterative learning controllers via noncausal filtering

    Pages 105-117

  10. Practical iterative learning control using weighted local symmetrical double-integral

    Pages 119-128

  11. Iterative learning identification with an application to aerodynamic drag coefficient curve extraction problem

    Pages 129-146

  12. Iterative learning control of functional neuromuscular stimulation systems

    Pages 147-176

  13. Conclusions and future research

    Pages 177-180

  14. Back Matter

    Download chapter PDF
Back to top

Keywords

About this book

This book provides readers with a comprehensive coverage of iterative learning control. The book can be used as a text or reference for a course at graduate level and is also suitable for self-study and for industry-oriented courses of continuing education.
Ranging from aerodynamic curve identification robotics to functional neuromuscular stimulation, Iterative Learning Control (ILC), started in the early 80s, is found to have wide applications in practice. Generally, a system under control may have uncertainties in its dynamic model and its environment. One attractive point in ILC lies in the utilisation of the system repetitiveness to reduce such uncertainties and in turn to improve the control performance by operating the system repeatedly. This monograph emphasises both theoretical and practical aspects of ILC. It provides some recent developments in ILC convergence and robustness analysis. The book also considers issues in ILC design. Several practical applications are presented to illustrate the effectiveness of ILC. The applied examples provided in this monograph are particularly beneficial to readers who wish to capitalise the system repetitiveness to improve system control performance.

Bibliographic Information

  • Book Title: Iterative Learning Control

  • Book Subtitle: Convergence, Robustness and Applications

  • Editors: Yangquan Chen, Changyun Wen

  • Series Title: Lecture Notes in Control and Information Sciences

  • DOI: https://doi.org/10.1007/BFb0110114

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London 1999

  • Softcover ISBN: 978-1-85233-190-0Published: 22 September 1999

  • eBook ISBN: 978-1-84628-539-4Published: 03 October 2007

  • Series ISSN: 0170-8643

  • Series E-ISSN: 1610-7411

  • Edition Number: 1

  • Number of Pages: XII, 204

  • Number of Illustrations: 2 b/w illustrations

  • Topics: Control, Robotics, Mechatronics, Computational Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation