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Adaptive identification and control ...

Chen, Qiang.

Adaptive identification and control of uncertain systems with non-smooth dynamics /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive identification and control of uncertain systems with non-smooth dynamics /Jing Na, Qiang Chen, Xuemei Ren.
Author:	Na, Jing.
other author:	Chen, Qiang.
Description:	1 online resource.
Subject:	Friction.
Online resource:	https://www.sciencedirect.com/science/book/9780128136836
ISBN:	9780128136843$q(electronic bk.)

Adaptive identification and control of uncertain systems with non-smooth dynamics /
Na, Jing.

Adaptive identification and control of uncertain systems with non-smooth dynamics /Jing Na, Qiang Chen, Xuemei Ren. - 1 online resource. - Emerging methodologies and applications in modelling, identification and control. - Emerging methodologies and applications in modelling, identification and control..

Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.

ISBN: 9780128136843$q(electronic bk.)Subjects--Topical Terms:

378272
Friction.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TA418.72

Dewey Class. No.: 620.1

Adaptive identification and control of uncertain systems with non-smooth dynamics /
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245 1 0 $a Adaptive identification and control of uncertain systems with non-smooth dynamics / $c Jing Na, Qiang Chen, Xuemei Ren.
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490 1 $a Emerging methodologies and applications in modelling, identification and control
520 $a Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches. This valuable resource can help both researchers and practitioners to learn and understand nonlinear adaptive control designs. Academics, engineers and graduate students in the fields of electrical engineering, control systems, mechanical engineering, applied mathematics and computer science can benefit from the book. It can be also used as a reference book on adaptive control for servo systems for students with some background in control engineering.
650 0 $a Friction. $3 378272
650 0 $a Adaptive control systems. $3 182317
650 0 $a Servomechanisms. $3 292608
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700 1 $a Chen, Qiang. $3 839495
700 1 $a Ren, Xuemei. $3 839496
830 0 $a Emerging methodologies and applications in modelling, identification and control. $3 839497
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