Iterative Learning Control: Analysis, Design, Integration and Applications / Edition 1

Iterative Learning Control: Analysis, Design, Integration and Applications / Edition 1

by Zeungnam Bien
     
 

ISBN-10: 0792382137

ISBN-13: 9780792382133

Pub. Date: 07/31/1998

Publisher: Springer US

This book provides a comprehensive update and overview of iterative learning control theory and techniques relevant to industrial automation, and focuses on new research directions for the 21st century.
Thorough, well-organized, and completely up-to-date, it examines all the important aspects of this emerging technology. Iterative Learning Control:

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Overview

This book provides a comprehensive update and overview of iterative learning control theory and techniques relevant to industrial automation, and focuses on new research directions for the 21st century.
Thorough, well-organized, and completely up-to-date, it examines all the important aspects of this emerging technology. Iterative Learning Control: Analysis, Design, Integration and Applications provides dynamic coverage of ILC's history, its expanding real-world applications, and its robustness and convergence. Also included are sampled-data and discrete-time issues, design guidelines and quadratic criterion, the ability of dynamic systems to learn, time-delay problem, integration (with neural network, fuzzy logic and wavelet), direct learning, and identification, in addition to ILC's possible applications to batch and welding processes, neuromuscular stimulation, and other fast-changing fields.
The contributions are written by some of the leading internationally recognized researchers in ILC.
Iterative Learning Control: Analysis, Design, Integration and Applications will be of interest to researchers and engineers in robotics, automation, systems and control, and signal processing.

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Product Details

ISBN-13:
9780792382133
Publisher:
Springer US
Publication date:
07/31/1998
Edition description:
1998
Pages:
373
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

List of Figures. List of Tables. Preface. Part I: General Introduction to Iterative Learning Control. 1. A Brief History of Iterative Learning Control; S. Arimoto. 2. The Frontiers of Iterative Learning Control; Jian-Xin Xu, Zenn Z. Bien. Part II: Property Analysis of Iterative Learning Control. 3. Robustness and Convergence of a PD-type Iterative Learning Controller; Hak-Sung Lee, Zeungnam Bien. 4. Ability of Learning Comes from Passivity and Dissipativity of System Dynamics; S. Arimoto. 5. On the Iterative Learning Control of Sampled-Data Systems; Chiang-Ju Chien. 6. High-Order Iterative Learning Control of Discrete-Time Nonlinear Systems Using Current Iteration Tracking Error; Yangquan Chen, et al. Part III: The Design Issues of Iterative Learning Control. 7. Designing Iterative Learning and Repetitive Controllers; R.W. Longman. 8. Design of an ILC for Linear Systems with Time-Delay and Initial State Error; Kwang-Hyun Park, et al. 9. Design of Quadratic Criterion-Based Iterative Learning Control; Kwang Soon Lee, J.H. Lee. 10. Robust ILC with Current Feedback for Uncertain Linear Systems; Tae-Yong Doh, Myung Jin Chung. Part IV: Integration of Iterative Learning Control with Other Intelligent Controls. 11. Model Reference Learning Control with a Wavelet Network; M. Fukuda, S. Shin. 12. Neural-Based Iterative Learning Control; Jin Young Choi, et al. 13. Adaptive Learning Control of Robotic Systems and Its Extension to a Class of Nonlinear Systems; B.H. Park, et al. 14. Direct Learning Control of Non-Uniform Trajectories; Jian-Xin Xu, Yanbin Song. 15. System Identification and Learning Control; M.Q. Phan, J.A. Frueh. Part V: Implementations of Iterative Learning Control Method. 16. Model-Based Predictive Control Combined with Iterative Learning for Batch or Repetitive Processes; Kwang Soon Lee, J.H. Lee. 17. Iterative Learning Control with Non-Standard Assumptions Applied to the Control of Gas-Metal Arc Welding; K.L. Moore, A. Matheus. 18. Robust Control of Functional Neuromuscular Stimulation System by Discrete-time Iterative Learning; Huifang Dou, et al. Index. About the Editors.

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