عنوان

Iterative learning control for systems with iteration-varying trial lengths :

(Number (ISBN

9789811361364

(Number (ISBN

9789811361371

(Number (ISBN

9811361363

(Number (ISBN

9811361371

Erroneous ISBN

9789811361357

Erroneous ISBN

9811361355

Title Proper

Iterative learning control for systems with iteration-varying trial lengths :

General Material Designation

[Book]

Other Title Information

synthesis and analysis /

First Statement of Responsibility

Dong Shen, Xuefang Li.

Place of Publication, Distribution, etc.

Singapore :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (xiv, 256 pages) :

Other Physical Details

illustrations (some color)

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9789811361364

International Standard Book Number

9789811361357

International Standard Book Number

9789811361371

Algorithms.

Automatic control.

Engineering mathematics.

System theory.

Algorithms.

Automatic control.

Engineering mathematics.

System theory.

TEC004000

TJFM

TJFM

Number

Edition

Class number

Book number

Shen, Dong

Li, Xuefang

Date of Transaction

20200823233550.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y