Ebook: Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition
Author: Mohamed E. El?Hawary(eds.)
- Year: 2007
- Publisher: Wiley-IEEE Press
- Language: English
- pdf
A self-contained introduction to adaptive inverse control
Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book.
Written by two pioneers in the field, Adaptive Inverse Control presents methods of adaptive signal processing that are borrowed from the field of digital signal processing to solve problems in dynamic systems control. This unique approach allows engineers in both fields to share tools and techniques. Clearly and intuitively written, Adaptive Inverse Control illuminates theory with an emphasis 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 inverse control; plant disturbance canceling; system integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse control systems; nonlinear adaptive inverse control systems; and more.
Complete with a glossary, an index, and chapter summaries that consolidate the information presented, Adaptive Inverse Control is appropriate as a textbook for advanced undergraduate- and graduate-level courses on adaptive control and also serves as a valuable resource for practitioners in the fields of control systems and signal processing.Content:
Chapter 1 The Adaptive Inverse Control Concept (pages 1–39):
Chapter 2 Wiener Filters (pages 40–58):
Chapter 3 Adaptive LMS Filters (pages 59–87):
Chapter 4 Adaptive Modeling (pages 88–110):
Chapter 5 Inverse Plant Modeling (pages 111–137):
Chapter 6 Adaptive Inverse Control (pages 138–159):
Chapter 7 Other Configurations for Adaptive Inverse Control (pages 160–208):
Chapter 8 Plant Disturbance Canceling (pages 209–257):
Chapter 9 System Integration (pages 258–269):
Chapter 10 Multiple?Input Multiple?Output (MIMO) Adaptive Inverse Control Systems (pages 270–302):
Chapter 11 Nonlinear Adaptive Inverse Control (pages 303–329):
Chapter 12 Pleasant Surprises (pages 330–338):
Now featuring a revised preface that emphasizes the coverage of both control systems and signal processing, this reissued edition of Adaptive Inverse Control takes a novel approach that is not available in any other book.
Written by two pioneers in the field, Adaptive Inverse Control presents methods of adaptive signal processing that are borrowed from the field of digital signal processing to solve problems in dynamic systems control. This unique approach allows engineers in both fields to share tools and techniques. Clearly and intuitively written, Adaptive Inverse Control illuminates theory with an emphasis 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 inverse control; plant disturbance canceling; system integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse control systems; nonlinear adaptive inverse control systems; and more.
Complete with a glossary, an index, and chapter summaries that consolidate the information presented, Adaptive Inverse Control is appropriate as a textbook for advanced undergraduate- and graduate-level courses on adaptive control and also serves as a valuable resource for practitioners in the fields of control systems and signal processing.Content:
Chapter 1 The Adaptive Inverse Control Concept (pages 1–39):
Chapter 2 Wiener Filters (pages 40–58):
Chapter 3 Adaptive LMS Filters (pages 59–87):
Chapter 4 Adaptive Modeling (pages 88–110):
Chapter 5 Inverse Plant Modeling (pages 111–137):
Chapter 6 Adaptive Inverse Control (pages 138–159):
Chapter 7 Other Configurations for Adaptive Inverse Control (pages 160–208):
Chapter 8 Plant Disturbance Canceling (pages 209–257):
Chapter 9 System Integration (pages 258–269):
Chapter 10 Multiple?Input Multiple?Output (MIMO) Adaptive Inverse Control Systems (pages 270–302):
Chapter 11 Nonlinear Adaptive Inverse Control (pages 303–329):
Chapter 12 Pleasant Surprises (pages 330–338):
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