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 an eye on platforms and sign processing, this reissued variation of Adaptive Inverse regulate takes a singular strategy that isn't on hand in the other book.
Written by way of pioneers within the box, Adaptive Inverse keep an eye on provides equipment of adaptive sign processing which are borrowed from the sector of electronic sign processing to resolve difficulties in dynamic platforms keep watch over. This new angle permits engineers in either fields to proportion instruments and strategies. basically and intuitively written, Adaptive Inverse regulate illuminates thought with an emphasis on sensible purposes and common sense figuring out. It covers: the adaptive inverse keep watch over suggestion; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse keep watch over; different configurations for adaptive inverse keep watch over; plant disturbance canceling; procedure integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse keep an eye on structures; nonlinear adaptive inverse regulate structures; and more.
entire with a thesaurus, an index, and bankruptcy summaries that consolidate the data provided, Adaptive Inverse keep an eye on is suitable as a textbook for complex undergraduate- and graduate-level classes on adaptive regulate and in addition serves as a precious source for practitioners within the fields of keep watch over structures and sign processing.Content:
Chapter 1 The Adaptive Inverse regulate notion (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 watch over (pages 160–208):
Chapter eight Plant Disturbance Canceling (pages 209–257):
Chapter nine process 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 regulate (pages 303–329):
Chapter 12 friendly Surprises (pages 330–338):
Read Online or Download Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition PDF
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Extra resources for Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition
Speech, Signal Processing, Vol. ASSP-26 (June 1978), p. 240. R. MORGAN, “Response of a delayed-constrainedadaptive linear predictor filter to a sinusoid in white noise,” in Proc. 1981 ICASSP, p. 271. A. M. FITELSON,“Notes on maximum-entropy processing,” IEEE Trans. Info. Theory, Vol. IT-19 (March 1973), p. 232. T. LACOSS,“Data adaptive spectral analysis methods,” Geophysics (August 1971), p. 661. [531 A. VANDEN BOS, ‘‘Alternative interpretation of maximum entropy spectral analysis,” IEEE Trans.
It is proven for linear systems that no other method can reduce the mean square of the plant output disturbance to a lower level. Expressions are derived for overall system output mean square error for simultaneous application of adaptive inverse control and adaptive plant disturbance canceling. A simulation of an adaptive disturbance canceling system is reported. Application of this system to real-time aircraft ride control is illustrated. Fast control of the airplane’s ailerons could reduce the vertical component of disturbance due to random updrafts and downdrafts.
2 ) . Accordingly, 42 Wiener Filters Chap. 2 We now assume that the order of summation can be changed,’ so that I=O k = - w Summing over k for any given value of 1 yields Summing over 1 gives G ( z )= H ( z ) . F ( z ) . Convolution in the time domain therefore corresponds to multiplication in the transform domain. The z-transform of the impulse response is H ( z ) , and this is called the transfer function of the filter. A digital filter having a two-sided (noncausal) impulse response is shown in Fig.