Adaptive Inverse Control: A Signal Processing Approach, by Mohamed E. El?Hawary(eds.) PDF

By Mohamed E. El?Hawary(eds.)

ISBN-10: 0470226099

ISBN-13: 9780470226094

ISBN-10: 0470231610

ISBN-13: 9780470231616

A self-contained advent 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 variation of Adaptive Inverse keep watch over takes a unique strategy that's not to be had in the other book.

Written through pioneers within the box, Adaptive Inverse keep watch over provides equipment of adaptive sign processing which are borrowed from the sphere of electronic sign processing to resolve difficulties in dynamic platforms regulate. This special approach permits engineers in either fields to percentage instruments and methods. truly and intuitively written, Adaptive Inverse regulate illuminates thought with an emphasis on useful functions and common sense knowing. It covers: the adaptive inverse regulate inspiration; Weiner filters; adaptive LMS filters; adaptive modeling; inverse plant modeling; adaptive inverse regulate; different configurations for adaptive inverse keep an eye on; plant disturbance canceling; method integration; Multiple-Input Multiple-Output (MIMO) adaptive inverse keep an eye on platforms; nonlinear adaptive inverse regulate structures; and more.

whole with a thesaurus, an index, and bankruptcy summaries that consolidate the data awarded, Adaptive Inverse regulate is suitable as a textbook for complex undergraduate- and graduate-level classes on adaptive keep watch over 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 keep an eye on 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 an eye on (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 approach 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 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

Example text

1 Canceling Disturbance in the Minimum-Phase Plant Since both plant disturbance and sensor noise show up at the plant output, it is convenientfor our purposes to lump them together and to simply call the combined effect plant disturbance, represented as an additive disturbance at the plant output. We shall do this throughout the book. 1) was stabilized in accord with the block diagram of Fig. 7. Noise is now injected into the plant output to simulateplant disturbance. An adaptive noise canceler fashioned after the one of Fig.

Gradient noise in the weights of both the direct model and the inverse model affect the accuracy of the inverse model. Expressions are obtained for the variance of the error at the plant output due to noise in the inverse filter’s weights. This knowledge is very important to the design of the adaptive controller. Chapter 6: Adaptive Inverse Control Schemes for adaptive inverse control were first presented in Chapter 1, but as shown there, they lack sufficient detail to be used in practice. Practical model-reference control systems are shown in Chapter 6 for both disturbance-free plants and for plants with enough disturbance to interfere with the inverse modeling process.

27. It is useful to note that although this controller was adapted to control a noisy equivalent plant, and the learning process took place in the presence of plant disturbance, the converged dynamics of the controller were essentially unaffected by the plant disturbance. The controller impulse response of Fig. 12 was adapted for the same equivalent plant, but without plant disturbance and without an adaptive disturbance canceler. Comparison of Figs. 27 shows that both impulse responses are almost the same.

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Adaptive Inverse Control: A Signal Processing Approach, Reissue Edition by Mohamed E. El?Hawary(eds.)


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