東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Iterative learning control for syste...

Shen, Dong.

Linked to FindBook

Google Book

Amazon

博客來

Iterative learning control for systems with iteration-varying trial lengths = synthesis and analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Iterative learning control for systems with iteration-varying trial lengths/ by Dong Shen, Xuefang Li.
Reminder of title:	synthesis and analysis /
Author:	Shen, Dong.
other author:	Li, Xuefang.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xiv, 256 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Averaging and Expectation Techniques for Linear DT Systems -- Lifting Techniques for Linear DT Systems -- Moving Averaging Techniques for Linear DT Systems -- Switching System Techniques for Linear DT Systems -- Moving Averaging Tehcniques for Nonlinear CT Systems -- Modified Lambda-Norm Techniques for Nonlinear DT Systems -- Sampled-Data Control Techniques for Nonlinear CT Systems -- CEF Techniques for Parameterized Nonlinear CT Systems -- CEF Techniques for Nonparameterized Nonlinear CT Systems -- Summary and Future Research Directions -- Appendix.
Contained By:	Springer eBooks
Subject:	Automatic control. -
Online resource:	https://doi.org/10.1007/978-981-13-6136-4
ISBN:	9789811361364

Iterative learning control for systems with iteration-varying trial lengths = synthesis and analysis /
Shen, Dong.

Iterative learning control for systems with iteration-varying trial lengthssynthesis and analysis /[electronic resource] :by Dong Shen, Xuefang Li. - Singapore :Springer Singapore :2019. - xiv, 256 p. :ill., digital ;24 cm.

Introduction -- Averaging and Expectation Techniques for Linear DT Systems -- Lifting Techniques for Linear DT Systems -- Moving Averaging Techniques for Linear DT Systems -- Switching System Techniques for Linear DT Systems -- Moving Averaging Tehcniques for Nonlinear CT Systems -- Modified Lambda-Norm Techniques for Nonlinear DT Systems -- Sampled-Data Control Techniques for Nonlinear CT Systems -- CEF Techniques for Parameterized Nonlinear CT Systems -- CEF Techniques for Nonparameterized Nonlinear CT Systems -- Summary and Future Research Directions -- Appendix.

This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.

ISBN: 9789811361364

Standard No.: 10.1007/978-981-13-6136-4doiSubjects--Topical Terms:

535879
Automatic control.

LC Class. No.: TJ213 / .S546 2019

Dewey Class. No.: 629.8

Iterative learning control for systems with iteration-varying trial lengths = synthesis and analysis /
LDR:03033nmm a2200325 a 4500 001 2179494
003 DE-He213
005 20190807104427.0
006 m d
007 cr nn 008maaau
008 191122s2019 si s 0 eng d
020 $a 9789811361364 $q (electronic bk.)
020 $a 9789811361357 $q (paper)
024 7 $a 10.1007/978-981-13-6136-4 $2 doi
035 $a 978-981-13-6136-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ213 $b .S546 2019
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
090 $a TJ213 $b .S546 2019
100 1 $a Shen, Dong. $3 1253428
245 1 0 $a Iterative learning control for systems with iteration-varying trial lengths $h [electronic resource] : $b synthesis and analysis / $c by Dong Shen, Xuefang Li.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xiv, 256 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- Averaging and Expectation Techniques for Linear DT Systems -- Lifting Techniques for Linear DT Systems -- Moving Averaging Techniques for Linear DT Systems -- Switching System Techniques for Linear DT Systems -- Moving Averaging Tehcniques for Nonlinear CT Systems -- Modified Lambda-Norm Techniques for Nonlinear DT Systems -- Sampled-Data Control Techniques for Nonlinear CT Systems -- CEF Techniques for Parameterized Nonlinear CT Systems -- CEF Techniques for Nonparameterized Nonlinear CT Systems -- Summary and Future Research Directions -- Appendix.
520 $a This book presents a comprehensive and detailed study on iterative learning control (ILC) for systems with iteration-varying trial lengths. Instead of traditional ILC, which requires systems to repeat on a fixed time interval, this book focuses on a more practical case where the trial length might randomly vary from iteration to iteration. The iteration-varying trial lengths may be different from the desired trial length, which can cause redundancy or dropouts of control information in ILC, making ILC design a challenging problem. The book focuses on the synthesis and analysis of ILC for both linear and nonlinear systems with iteration-varying trial lengths, and proposes various novel techniques to deal with the precise tracking problem under non-repeatable trial lengths, such as moving window, switching system, and searching-based moving average operator. It not only discusses recent advances in ILC for systems with iteration-varying trial lengths, but also includes numerous intuitive figures to allow readers to develop an in-depth understanding of the intrinsic relationship between the incomplete information environment and the essential tracking performance. This book is intended for academic scholars and engineers who are interested in learning about control, data-driven control, networked control systems, and related fields. It is also a useful resource for graduate students in the above field.
650 0 $a Automatic control. $3 535879
650 0 $a System theory. $3 525574
650 0 $a Engineering mathematics. $3 516847
650 0 $a Algorithms. $3 536374
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Systems Theory, Control. $3 893834
650 2 4 $a Mathematical and Computational Engineering. $3 3226306
700 1 $a Li, Xuefang. $3 3384710
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-981-13-6136-4
950 $a Intelligent Technologies and Robotics (Springer-42732)