By Mohamed E. El?Hawary(eds.)
A self-contained creation to adaptive inverse control
Now that includes a revised preface that emphasizes the assurance of either regulate platforms and sign processing, this reissued variation of Adaptive Inverse regulate takes a singular process that's not on hand in the other book.
Written by way of pioneers within the box, Adaptive Inverse regulate offers equipment of adaptive sign processing which are borrowed from the sector of electronic sign processing to unravel difficulties in dynamic structures keep watch over. This special approach permits engineers in either fields to percentage instruments and methods. basically and intuitively written, Adaptive Inverse keep watch over illuminates idea with an emphasis on useful functions and common-sense knowing. It covers: the adaptive inverse keep watch over suggestion; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse regulate; different configurations for adaptive inverse keep watch over; plant disturbance canceling; method integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse keep an eye on structures; nonlinear adaptive inverse keep watch over structures; and more.
entire with a word list, an index, and bankruptcy summaries that consolidate the knowledge awarded, Adaptive Inverse keep an eye on is acceptable as a textbook for complicated undergraduate- and graduate-level classes on adaptive keep an eye on and in addition serves as a beneficial source for practitioners within the fields of keep an eye on platforms and sign processing.Content:
Chapter 1 The Adaptive Inverse keep an eye on proposal (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 regulate (pages 138–159):
Chapter 7 different Configurations for Adaptive Inverse keep an eye on (pages 160–208):
Chapter eight Plant Disturbance Canceling (pages 209–257):
Chapter nine procedure Integration (pages 258–269):
Chapter 10 Multiple?Input Multiple?Output (MIMO) Adaptive Inverse keep watch over platforms (pages 270–302):
Chapter eleven Nonlinear Adaptive Inverse keep watch over (pages 303–329):
Chapter 12 friendly Surprises (pages 330–338):
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Additional resources for Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition
8 (August 1972),pp. 926-935. L. ZAHM,“Applicationsof adaptive arrays to suppress strong jammers in the pres- ence of weak signals,” IEEE Trans. Aerosp. Electron. Systems, Vol. AES-9 (1973), pp. 260-27 1. T. J. G. A. KSIENSKI, “Adaptive arrays for communciation systems: An overview of research at the Ohio State University,” IEEE Trans. , Vol. AP-24, No. 5 (September 1976). pp. 599606. T. , “An experimental four-element adaptive array,” IEEE Trans. , Vol. AP-24, No. 5 (September 1976), pp. 697-706.
138, No. 5 (September 1991). pp. 431-438. J. J. HUNT, D. S B A R B A R R works for control systems-a survey,” Autornatica, Vol. 28, No. 6 (November 1992). pp. 1083-1 112. Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition by Bernard Widrow and Eugene Walach Copyright 02008 the Institute of Electrical and Electronics Engineers. 0 INTRODUCTION Wiener filters are best linear least squares filters which are used for prediction, estimation, interpolation, signal and noise filtering, and so forth.
Widrow and co-authors. Adaptive filters are discussed at length in several textbooks such as Widrow and Steams , Haykin [69, 701 Cowan and Grant , and Treichler and colleagues . The chapter begins with the idea of an adaptive filter, a tapped delay line with variable coefficients or tap weights driven by the LMS algorithm of Widrow and Hoff [73-771. This is a gradient algorithm based on the method of steepest descent. The use of this algorithm to adjust the weights to minimize mean square error is described in the context of several practical applications.