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Iterative Learning Control

Analysis, Design, Integration and Applications

  • Book
  • © 1998

Overview

Editors:
  1. Zeungnam Bien

    1. Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea

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    You can also search for this editor in PubMed   Google Scholar

  2. Jian-Xin Xu

    1. Department of Electrical Engineering, National University of Singapore, Singapore

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    You can also search for this editor in PubMed   Google Scholar

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xxvii
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  2. General Introduction to Iterative Learning Control

    1. Front Matter

      Pages 1-1
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    2. A Brief History of Iterative Learning Control

      • Suguru Arimoto
      Pages 3-7

    3. The Frontiers of Iterative Learning Control

      • Jian-Xin Xu, Zenn Z. Bien
      Pages 9-35

  3. Property Analysis of Iterative Learning Control

    1. Front Matter

      Pages 37-37
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    2. Robustness and Convergence of a PD-Type Iterative Learning Controller

      • Hak-Sung Lee, Zeungnam Bien
      Pages 39-55

    3. Ability of Learning Comes from Passivity and Dissipativity of System Dynamics

      • Suguru Arimoto
      Pages 57-70

    4. On the Iterative Learning Control of Sampled-Data Systems

      • Chiang-Ju Chien
      Pages 71-82

    5. High-Order Iterative Learning Control of Discrete-Time Nonlinear Systems Using Current Iteration Tracking Error

      • Yangquan Chen, Jian-Xin Xu, Tong Heng Lee
      Pages 83-103

  4. The Design Issues of Iterative Learning Control

    1. Front Matter

      Pages 105-105
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    2. Designing Iterative Learning and Repetitive Controllers

      • Richard W. Longman
      Pages 107-146

    3. Design of an Iterative Learning Controller for a Class of Linear Dynamic Systems with Time-Delay and Initial State Error

      • Kwang-Hyun Park, Zeungnam Bien, Dong-Hwan Hwang
      Pages 147-164

    4. Design of Quadratic Criterion-Based Iterative Learning Control

      • Kwang Soon Lee, Jay H. Lee
      Pages 165-192

    5. Robust ILC with Current Feedback for Uncertain Linear Systems

      • Tae-Yong Doh, Myung Jin Chung
      Pages 193-208

  5. Integration of Iterative Learning Control with Other Intelligent Controls

    1. Front Matter

      Pages 209-209
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    2. Model Reference Learning Control with a Wavelet Network

      • Mitsuo Fukuda, Seiichi Shin
      Pages 211-226

    3. Neural-Based Iterative Learning Control

      • Jin Young Choi, Chong-Ho Choi, Hyun Joo Park
      Pages 227-238

    4. Adaptive Learning Control of Robotic Systems and its Extension to a Class of Nonlinear Systems

      • B. H. Park, Jin S. Lee, T. Y. Kuc
      Pages 239-259

    5. Direct Learning Control of Non-Uniform Trajectories

      • Jian-Xin Xu, Yanbin Song
      Pages 261-283

    6. System Identification and Learning Control

      • Minh Q. Phan, James A. Frueh
      Pages 285-310
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Keywords

About this book

Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa­ tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor­ mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be­ haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.

Editors and Affiliations

  • Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Korea

    Zeungnam Bien

  • Department of Electrical Engineering, National University of Singapore, Singapore

    Jian-Xin Xu

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