By Mohamed E. El?Hawary(eds.)
A self-contained creation to adaptive inverse control
Now that includes a revised preface that emphasizes the insurance of either keep watch over structures and sign processing, this reissued version of Adaptive Inverse keep watch over takes a singular strategy that's not on hand in the other book.
Written by means of pioneers within the box, Adaptive Inverse keep watch over offers tools of adaptive sign processing which are borrowed from the sphere of electronic sign processing to unravel difficulties in dynamic platforms keep an eye on. This new angle permits engineers in either fields to proportion instruments and strategies. essentially and intuitively written, Adaptive Inverse keep an eye on illuminates conception with an emphasis on functional functions and common sense figuring out. It covers: the adaptive inverse keep an eye on thought; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse keep watch over; different configurations for adaptive inverse keep an eye on; plant disturbance canceling; procedure integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse keep an eye on platforms; nonlinear adaptive inverse keep watch over structures; and more.
entire with a thesaurus, an index, and bankruptcy summaries that consolidate the knowledge offered, Adaptive Inverse regulate is suitable as a textbook for complicated undergraduate- and graduate-level classes on adaptive keep an eye on and in addition serves as a worthy source for practitioners within the fields of keep watch over platforms and sign processing.Content:
Chapter 1 The Adaptive Inverse keep watch over suggestion (pages 1–39):
Chapter 2 Wiener Filters (pages 40–58):
Chapter three Adaptive LMS Filters (pages 59–87):
Chapter four Adaptive Modeling (pages 88–110):
Chapter five Inverse Plant Modeling (pages 111–137):
Chapter 6 Adaptive Inverse keep watch over (pages 138–159):
Chapter 7 different Configurations for Adaptive Inverse keep watch over (pages 160–208):
Chapter eight Plant Disturbance Canceling (pages 209–257):
Chapter nine method Integration (pages 258–269):
Chapter 10 Multiple?Input Multiple?Output (MIMO) Adaptive Inverse regulate structures (pages 270–302):
Chapter eleven Nonlinear Adaptive Inverse keep an eye on (pages 303–329):
Chapter 12 friendly Surprises (pages 330–338):
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Extra resources for Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition
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Learning rates are obtained, as are expressions for weight noise variance. All of this can be used to predict the performance of adaptive inverse control systems. A practical problem, canceling noise that leaks through earphones in a high-noise environment, illustrates application of both the filtered-X algorithm and the filtered+ algorithm. This signal processing problem is very much like a control problem. Chapter 8: Plant Disturbance Canceling In the previous chapters a variety of techniques were developed for achieving precise dynamic control, even for plants subject to disturbance.