Adaptive Control of Systems: 9 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - Tapa dura

Tao; Kokotovic

9780471156543: Adaptive Control of Systems: 9 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

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ISBN 10: 047115654X ISBN 13: 9780471156543

Editorial: John Wiley & Sons, 1996

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An in-depth examination of intelligent approaches to increasing the accuracy of a variety of system components. Utilizing a unified, adaptive, inverse approach, the book offers electrical, mechanical, chemical, aeronautical and computer engineers methods for controlling many of the "hard" nonlinearities of frequently-employed control systems such as dead-zone, backlash and hysteresis. Discusses such nonlinearities at both the input and output points of a linear part and within both continuous time designs and discrete time designs.

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Acerca del autor

GANG TAO received his PhD in electrical engineering from the University of Southern California in 1989. He is currently an assistant professor in the Department of Electrical Engineering at the University of Virginia. PETAR V. Kokotovi has been Director of the Center for Control Engineering and Computation at the University of California, Santa Barbara, since 1991. Previously, he was with the University of Illinois, where he held the Grainger Chair. He is a member of the National Academy of Engineering. His recognition as a leading authority in control theory theory includes the triennial Quazza Medal by IFAC in 1990 and the 1995 IEEE Control Systems Award.

De la contraportada

With the growing use of feedback controls, "hard" nonlinearities have become ubiquitous in engineering practice despite their rare treatment in academic texts. This book introduces a unified adaptive inverse approach for the control of systems with unknown nonlinearities and settles long-standing engineering problems posed by imperfections of actuators and sensors.

Focusing on dead-zone, backlash, and hysteresis, the authors show how real-time computations can counteract the effects of these nonlinearities. In many applications their approach avoids the need for costly and specialized hardware.

This easy-to-use, self-contained presentation of the entirely new adaptive inverse design is geared towards practicing engineers, researchers, and graduate students.

Adaptive Control of Systems with Actuator and Sensor Nonlinearities features:
* Systematic treatment for actuator and sensor nonlinearities.
* Examples of dead-zone, backlash, and hysteresis models and their inverses.
* Broad coverage that ranges from satellite antennas and piezo-positioners to industrial automation and consumer electronics.
* Step-by-step instructions for adaptive inverse design and implementation.
* Unified continuous- and discrete-time presentation.
* A concise review of model reference adaptive control theory.
* Extensive illustrations of system performance improvement.
* Over ninety figures and design examples.

De la solapa interior

With the growing use of feedback controls, hard nonlinearities have become ubiquitous in engineering practice despite their rare treatment in academic texts. This book introduces a unified adaptive inverse approach for the control of systems with unknown nonlinearities and settles long-standing engineering problems posed by imperfections of actuators and sensors.

Focusing on dead-zone, backlash, and hysteresis, the authors show how real-time computations can counteract the effects of these nonlinearities. In many applications their approach avoids the need for costly and specialized hardware.

This easy-to-use, self-contained presentation of the entirely new adaptive inverse design is geared towards practicing engineers, researchers, and graduate students.

Adaptive Control of Systems with Actuator and Sensor Nonlinearities features:
* Systematic treatment for actuator and sensor nonlinearities.
* Examples of dead-zone, backlash, and hysteresis models and their inverses.
* Broad coverage that ranges from satellite antennas and piezo-positioners to industrial automation and consumer electronics.
* Step-by-step instructions for adaptive inverse design and implementation.
* Unified continuous- and discrete-time presentation.
* A concise review of model reference adaptive control theory.
* Extensive illustrations of system performance improvement.
* Over ninety figures and design examples.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

EditorialJohn Wiley & Sons
A�o de publicaci�n1996
ISBN 10 047115654X
ISBN 13 9780471156543
Encuadernaci�nTapa dura
IdiomaIngl�s
N�mero de edici�n1
N�mero de p�ginas312
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Condici�n: Bien

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Adaptive Control of Systems with Actuator and Sensor Nonlinearities

Tao, Gang; Kokotovic, Petar V.

Publicado por Wiley-Interscience, 1996

ISBN 10: 047115654X ISBN 13: 9780471156543

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Adaptive Control of Systems

Tao, Kokotovic

Publicado por John Wiley & Sons, 1996

ISBN 10: 047115654X ISBN 13: 9780471156543

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Condici�n: Sehr gut. Zustand: Sehr gut | Seiten: 312 | Sprache: Englisch | Produktart: Sonstiges. N� de ref. del art�culo: 837538/202

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Adaptive Control of Systems with Actuator and Sensor Nonlinearities (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Tao, Gang; Kokotovic, Petar V.

Publicado por Wiley-Interscience, 1996

ISBN 10: 047115654X ISBN 13: 9780471156543

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Adaptive Control of Systems with Actuator and Sensor Nonlinearities (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

Tao, Gang, Kokotovic, Petar V.

Publicado por Wiley-Interscience (edition 1), 1996

ISBN 10: 047115654X ISBN 13: 9780471156543

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Adaptive Control of Systems with Actuator and Sensor Nonlinearities

G Tao

Publicado por John Wiley & Sons, 1996

ISBN 10: 047115654X ISBN 13: 9780471156543

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Condici�n: New. GANG TAO received his PhD in electrical engineering from the University of Southern California in 1989. He is currently an assistant professor in the Department of Electrical Engineering at the University of Virginia. PETAR V. Kokotovi has been Director of . N� de ref. del art�culo: 446914792

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