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Truncated predictor based feedback d...

Lin, Zongli.

Truncated predictor based feedback designs for linear systems with input delay

Record Type:	Electronic resources : Monograph/item
Title/Author:	Truncated predictor based feedback designs for linear systems with input delayby Yusheng Wei, Zongli Lin.
Author:	Wei, Yusheng.
other author:	Lin, Zongli.
Published:	Cham :Springer International Publishing :2021.
Description:	xvi, 349 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Time delay systemsMathematics.
Online resource:	https://doi.org/10.1007/978-3-030-53429-5
ISBN:	9783030534295$q(electronic bk.)

Truncated predictor based feedback designs for linear systems with input delay
Wei, Yusheng.

Truncated predictor based feedback designs for linear systems with input delay[electronic resource] /by Yusheng Wei, Zongli Lin. - Cham :Springer International Publishing :2021. - xvi, 349 p. :ill., digital ;24 cm. - Control engineering,2373-7719. - Control engineering..

Preface -- Notation -- Introduction -- Truncated Predictor Feedback for Continuous-Time Linear Systems -- Truncated Predictor Feedback for Continuous-Time Linear Systems for Discrete-Time Linear Systems -- Truncated Predictor Feedback for Exponentially Unstable Linear Systems -- Delay Independent Truncated Predictor Feedback -- Adaptive Feedback Laws to Accommodate Unknown Delay -- Conclusions.

This monograph is the first of its kind to present innovative research results on truncated predictor feedback (TPF) designs for general linear systems with input delay. Beginning with a brief review of time delay systems, the first half of the book focuses on TPF with a constant feedback parameter. Both state feedback and output feedback are considered. It is established that TPF achieves stabilization in the presence of an arbitrarily large bounded delay if the open loop system is not exponentially unstable. Examples are presented to illustrate that TPF may fail to stabilize an exponentially unstable system when the delay is sufficiently large. Bounds on the delay are then established under which stabilization can be achieved. The second half of the book explores variations of the TPF laws designed with a non-constant feedback parameter to accommodate unknown delays and improve closed-loop performance. The authors employ a step-by-step approach to presenting the ultimate result on a completely delay-independent feedback law. Truncated Predictor Based Feedback Designs for Linear Systems with Input Delay will appeal to control engineers, control theorists, and graduate students studying control systems. This volume will also be a valuable resource for engineers and applied mathematicians interested in dynamic systems with time delays.

ISBN: 9783030534295$q(electronic bk.)

Standard No.: 10.1007/978-3-030-53429-5doiSubjects--Topical Terms:

887716
Time delay systems
--Mathematics.

LC Class. No.: TJ223.T5 / W45 2021

Dewey Class. No.: 629.83

Truncated predictor based feedback designs for linear systems with input delay
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505 0 $a Preface -- Notation -- Introduction -- Truncated Predictor Feedback for Continuous-Time Linear Systems -- Truncated Predictor Feedback for Continuous-Time Linear Systems for Discrete-Time Linear Systems -- Truncated Predictor Feedback for Exponentially Unstable Linear Systems -- Delay Independent Truncated Predictor Feedback -- Adaptive Feedback Laws to Accommodate Unknown Delay -- Conclusions.
520 $a This monograph is the first of its kind to present innovative research results on truncated predictor feedback (TPF) designs for general linear systems with input delay. Beginning with a brief review of time delay systems, the first half of the book focuses on TPF with a constant feedback parameter. Both state feedback and output feedback are considered. It is established that TPF achieves stabilization in the presence of an arbitrarily large bounded delay if the open loop system is not exponentially unstable. Examples are presented to illustrate that TPF may fail to stabilize an exponentially unstable system when the delay is sufficiently large. Bounds on the delay are then established under which stabilization can be achieved. The second half of the book explores variations of the TPF laws designed with a non-constant feedback parameter to accommodate unknown delays and improve closed-loop performance. The authors employ a step-by-step approach to presenting the ultimate result on a completely delay-independent feedback law. Truncated Predictor Based Feedback Designs for Linear Systems with Input Delay will appeal to control engineers, control theorists, and graduate students studying control systems. This volume will also be a valuable resource for engineers and applied mathematicians interested in dynamic systems with time delays.
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