Limit search to available items
Book Cover
E-book
Author Wang, Danwei, author

Title Practical iterative learning control with frequency domain design and sampled data implementation / Danwei Wang, Yongqiang Ye, Bin Zhang
Published Singapore : Springer, 2014

Copies

Description 1 online resource (xii, 226 pages) : illustrations (some color)
Series Advances in Industrial Control, 1430-9491
Advances in industrial control, 1430-9491
Contents Introduction -- Extend Learnable Band and Multi-channel Configuration -- Learnable Bandwidth Extension by Auto-Tunings -- Reverse Time Filtering Based ILC -- Wavelet Transform based Frequency Tuning ILC -- Learning Transient Performance with Cutoff-Frequency Phase-In -- Downsampled ILC -- Cyclic Pseudo-Downsampled ILC
Summary This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations
Analysis wiskundige modellen
mathematical models
neurale netwerken
neural networks
engineering
computational science
kunstmatige intelligentie
artificial intelligence
wiskunde
mathematics
Engineering (General)
Techniek (algemeen)
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed June 30, 2014)
Subject Intelligent control systems.
Automatic control -- Mathematical models
Artificial intelligence -- Engineering applications.
Artificial intelligence -- Engineering applications
Automatic control -- Mathematical models
Intelligent control systems
Form Electronic book
Author Ye, Yongqiang, author
Zhang, Bin, author
ISBN 9789814585606
9814585602
9814585599
9789814585590