Widrow / Walach Adaptive Inverse Control

A Signal Processing Approach, Reissue Edition
1. Auflage 2008
ISBN: 978-0-470-23160-9
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 524 Seiten, E-Book

A self-contained introduction to adaptive inverse control
Now featuring a revised preface that emphasizes the coverage ofboth control systems and signal processing, this reissued editionof Adaptive Inverse Control takes a novel approach that is notavailable in any other book.
Written by two pioneers in the field, Adaptive Inverse Controlpresents methods of adaptive signal processing that are borrowedfrom the field of digital signal processing to solve problems indynamic systems control. This unique approach allows engineers inboth fields to share tools and techniques. Clearly and intuitivelywritten, Adaptive Inverse Control illuminates theory with anemphasis on practical applications and commonsense understanding.It covers: the adaptive inverse control concept; Weiner filters;adaptive LMS filters; adaptive modeling; inverse plant modeling;adaptive inverse control; other configurations for adaptive inversecontrol; plant disturbance canceling; system integration;Multiple-Input Multiple-Output (MIMO) adaptive inverse controlsystems; nonlinear adaptive inverse control systems; andmore.
Complete with a glossary, an index, and chapter summaries thatconsolidate the information presented, Adaptive Inverse Control isappropriate as a textbook for advanced undergraduate- andgraduate-level courses on adaptive control and also serves as avaluable resource for practitioners in the fields of controlsystems and signal processing.

Autoren/Hrsg.

Widrow, Bernard

Walach, Eugene

Inhaltsverzeichnis

Preface.
1. The Adaptive Inverse Control Concept.
2. Wiener Filters.
3. Adaptive LMS Filters.
4. Adaptive Modeling.
5. Inverse Plant Modeling.
6. Adaptive Inverse Control.
7. Other Configurations for Adaptive Inverse Control.
8. Plant Disturbance Canceling.
9. System Integration.
10. Multiple-Input Multiple-Output (MIMO) Adaptive InverseControl Systems.
11. Nonlinear Adaptive Inverse Control.
12. Pleasant Surprises.
A Stability and Misadjustment of the LMS Adaptive Filter.
B Comparative Analyses of Dither Modeling Schemes A, B, C.
C A Comparison of the Self-Tuning Regulator of Astrom andWittenmark with the Techniques of Adaptive Inverse Control.
D Adaptive Inverse Control for Unstable Linear SISO Plants.
E Orthogonalizing Adaptive Algorithms: RLS, DFT/LMS, andDCT/LMS.
F A MIMO Application: An Adaptive Noise-Canceling System Usedfor Beam Control at the Stanford Linear Accelerator Center.
G Thirty Years of Adaptive Neural Networks: Perceptron Madaline,and Backpropagation.
H Neural Control Systems.
Glossary.
Index.

Über Autor(innen)

Bernard Widrow, PhD, has been Professor of Electrical Engineering at Stanford University for forty years. Together with M.E. Hoff, Jr., Dr. Widrow invented the LMS algorithm, which is now the world's most widely used learning algorithm. He is the recipient of numerous industry awards and holds twenty U.S. or foreign patents. Dr. Widrow has published nearly 200 papers, two of which became Citation Classics.
Eugene Walach, PhD, is Director and Senior Researcher of R&D Management at IBM Haifa (Israel) Research Labs. His research areas include industrial vision-based applications, low-level image analysis, and signal processing. He and Dr. Widrow developed their system of adaptive inverse control.