Description
Book SynopsisThe book blends the areas of adaptive inverse control and signal processing in ways not presented in any other book, allowing engineers in both fields to share tools and techniques. Clearly and intuitively written, the book presents theory, but its emphasis is on practical applications and common sense understanding.
Trade Review"Clearly and intuitively written, the book illuminates theory with an emphasis on practical applications and commonsense understanding … .A valuable resource." (
Bioautomation Journal, October 2008)
Table of ContentsPreface.
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.
