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Event-triggered active disturbance r...

Shi, Dawei.

Event-triggered active disturbance rejection controltheory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Event-triggered active disturbance rejection controlby Dawei Shi ... [et al.].
Reminder of title:	theory and applications /
other author:	Shi, Dawei.
Published:	Singapore :Springer Singapore :2021.
Description:	xv, 228 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Automatic control.
Online resource:	https://doi.org/10.1007/978-981-16-0293-1
ISBN:	9789811602931$q(electronic bk.)

Event-triggered active disturbance rejection controltheory and applications /
Event-triggered active disturbance rejection controltheory and applications /[electronic resource] :by Dawei Shi ... [et al.]. - Singapore :Springer Singapore :2021. - xv, 228 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v.3562198-4182 ;. - Studies in systems, decision and control ;v.3..

Introduction -- Discrete-time extended state observer -- Event-triggered extended state observer design -- Event-triggered active disturbance rejection control -- Dealing with unmatched uncertainties -- Extension to event-triggered high-gain control -- Application to DC motor control -- Application to attitude control of a rigid spacecraft -- Event-triggered adaptive disturbance rejection for artificial pancreas -- Summary and Future work -- Review of stability analysis.

The past few years have seen the attention and rapid developments in event-triggered sampled-data systems, in which the effect of event-triggered sensor measurements and controller updates is explored in controller analysis and design. This book offers the first systematic treatment of event-triggered sampled-data control system design using active disturbance rejection control (ADRC), an effective approach that is popular in both theoretic research and industrial applications. Extensive application examples with numerous illustrations are included to show how the event-triggered ADRC with theoretic performance guarantees can be implemented in engineering systems and how the performance can be actually achieved. For theoretic researchers and graduate students, the presented results provide new directions in theoretic research on event-triggered sampled-data systems; for control practitioners, the book offers an effective approach to achieving satisfactory performance with limited sampling rates.

ISBN: 9789811602931$q(electronic bk.)

Standard No.: 10.1007/978-981-16-0293-1doiSubjects--Topical Terms:

182078
Automatic control.

LC Class. No.: TJ213

Dewey Class. No.: 629.8

Event-triggered active disturbance rejection controltheory and applications /
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300 $a xv, 228 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4182 ; $v v.356
505 0 $a Introduction -- Discrete-time extended state observer -- Event-triggered extended state observer design -- Event-triggered active disturbance rejection control -- Dealing with unmatched uncertainties -- Extension to event-triggered high-gain control -- Application to DC motor control -- Application to attitude control of a rigid spacecraft -- Event-triggered adaptive disturbance rejection for artificial pancreas -- Summary and Future work -- Review of stability analysis.
520 $a The past few years have seen the attention and rapid developments in event-triggered sampled-data systems, in which the effect of event-triggered sensor measurements and controller updates is explored in controller analysis and design. This book offers the first systematic treatment of event-triggered sampled-data control system design using active disturbance rejection control (ADRC), an effective approach that is popular in both theoretic research and industrial applications. Extensive application examples with numerous illustrations are included to show how the event-triggered ADRC with theoretic performance guarantees can be implemented in engineering systems and how the performance can be actually achieved. For theoretic researchers and graduate students, the presented results provide new directions in theoretic research on event-triggered sampled-data systems; for control practitioners, the book offers an effective approach to achieving satisfactory performance with limited sampling rates.
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