Adaptive Inverse Control (eBook)

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.

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 Inverse
Control 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 and
Wittenmark with the Techniques of Adaptive Inverse Control.

D Adaptive Inverse Control for Unstable Linear SISO Plants.

E Orthogonalizing Adaptive Algorithms: RLS, DFT/LMS, and
DCT/LMS.

F A MIMO Application: An Adaptive Noise-Canceling System Used
for 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.

"Clearly and intuitively written, the book illuminates theory with an emphasis on practical applications and commonsense understanding ... .A valuable resource." (Bioautomation Journal, October 2008)