Adaptive Control of Systems with Actuator and Sensor Nonlinearities by Tao, Gang

Adaptive Control of Systems with Actuator and Sensor Nonlinearities (Hardcover) (ISBN-13: 9780471156543)

Vendor: Gang Tao
Product type: Books
Format: Hardcover
$207.95
$207.95
$207.95
Subtotal: $207.95
Adaptive Control of Systems with Actuator and Sensor Nonlinearities by Tao, Gang

Adaptive Control of Systems with Actuator and Sensor Nonlinearities

$207.95
Adaptive Control of Systems with Actuator and Sensor Nonlinearities by Tao, Gang

Adaptive Control of Systems with Actuator and Sensor Nonlinearities

$207.95
Format: Hardcover
Description
Description
x
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.

Author: Gang Tao,Petar V. Kokotovic
ISBN-10: 047115654X
ISBN-13: 9780471156543
Publisher: Wiley-Interscience
Language: English
Published: 05/23/1996
Pages: 312
Format: Hardcover
Weight: 1.33lbs
Size: 9.57h x 6.42w x 0.82d
By Gang Tao
By Gang Tao
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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.

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