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عنوان
Iterative learning control with passive incomplete information :

پدید آورنده
Dong Shen.

موضوع
Intelligent control systems.,Iterative methods (Mathematics),Intelligent control systems.,Iterative methods (Mathematics),TECHNOLOGY & ENGINEERING-- Engineering (General)

رده
TJ217
.
5

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9789811082672
(Number (ISBN
9789811082689
(Number (ISBN
9789811341052
(Number (ISBN
9811082677
(Number (ISBN
9811082685
(Number (ISBN
9811341052
Erroneous ISBN
9789811082665
Erroneous ISBN
9811082669

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Iterative learning control with passive incomplete information :
General Material Designation
[Book]
Other Title Information
algorithms design and convergence analysis /
First Statement of Responsibility
Dong Shen.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2018.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
Intro; Preface; Contents; 1 Introduction; 1.1 Iterative Learning Control-Why and How; 1.2 Basic Formulation of ILC; 1.2.1 Discrete-Time Case; 1.2.2 Continuous-Time Case; 1.3 ILC with Random Data Dropouts; 1.3.1 Data Dropout Models; 1.3.2 Data Dropout Positions; 1.3.3 Convergence Meanings; 1.4 ILC with Other Incomplete Information; 1.4.1 Communication Delay and Asynchronism; 1.4.2 Iteration-Varying Lengths; 1.5 Structure of This Monograph; 1.6 Summary; References; Part I One-Side Data Dropout; 2 Random Sequence Model for Linear Systems; 2.1 Problem Formulation.
Text of Note
2.2 Intermittent Update Scheme and Its Almost Sure Convergence2.3 Extension to Arbitrary Relative Degree Case with Mean Square Convergence; 2.3.1 Noise-Free System Case; 2.3.2 Stochastic System Case; 2.4 Illustrative Simulations; 2.5 Summary; References; 3 Random Sequence Model for Nonlinear Systems; 3.1 Problem Formulation; 3.2 Intermittent Update Scheme and Its Convergence; 3.3 Successive Update Scheme and Its Convergence; 3.4 Illustrative Simulations; 3.5 Summary; References; 4 Random Sequence Model for Nonlinear Systems with Unknown Control Direction; 4.1 Problem Formulation.
Text of Note
4.2 Intermittent Update Scheme and Its Almost Sure Convergence4.3 Proofs of Lemmas; 4.4 Illustrative Simulations; 4.5 Summary; References; 5 Bernoulli Variable Model for Linear Systems; 5.1 Problem Formulation; 5.2 Intermittent Update Scheme and Its Almost Sure Convergence; 5.3 Successive Update Scheme and Its Almost Sure Convergence; 5.4 Mean Square Convergence of Intermittent Update Scheme; 5.4.1 Noise-Free System Case; 5.4.2 Stochastic System Case; 5.5 Illustrative Simulations; 5.5.1 System Description; 5.5.2 Tracking Performance of both Schemes.
Text of Note
5.5.3 Comparison of Different Data Dropout Rates5.5.4 Comparison of Different Learning Gains; 5.5.5 Comparison with Conventional P-Type Algorithm; 5.6 Summary; References; 6 Bernoulli Variable Model for Nonlinear Systems; 6.1 Problem Formulation; 6.2 Intermittent Update Scheme and Its Almost Sure Convergence; 6.3 Successive Update Scheme and Its Almost Sure Convergence; 6.4 Illustrative Simulations; 6.5 Summary; References; 7 Markov Chain Model for Linear Systems; 7.1 Problem Formulation; 7.2 ILC Algorithms; 7.3 ILC for Classical Markov Chain Model Case.
Text of Note
7.4 ILC for General Markov Data Dropout Model Case7.5 Illustrative Simulations; 7.6 Summary; References; Part II Two-Side Data Dropout; 8 Two-Side Data Dropout for Linear Deterministic Systems; 8.1 Problem Formulation; 8.2 ILC Algorithms; 8.3 Markov Chain Model of Input Evolution; 8.4 Convergence Analysis; 8.5 Illustrative Simulations; 8.6 Summary; References; 9 Two-Side Data Dropout for Linear Stochastic Systems; 9.1 Problem Formulation; 9.2 Markov Chain of Input Evolution; 9.3 Convergence Analysis; 9.4 Discussions on Convergence Speed; 9.5 Illustrative Simulations; 9.6 Summary; References.
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SUMMARY OR ABSTRACT

Text of Note
This book presents an in-depth discussion of iterative learning control (ILC) with passive incomplete information, highlighting the incomplete input and output data resulting from practical factors such as data dropout, transmission disorder, communication delay, etc.--a cutting-edge topic in connection with the practical applications of ILC. It describes in detail three data dropout models: the random sequence model, Bernoulli variable model, and Markov chain model--for both linear and nonlinear stochastic systems. Further, it proposes and analyzes two major compensation algorithms for the incomplete data, namely, the intermittent update algorithm and successive update algorithm. Incomplete information environments include random data dropout, random communication delay, random iteration-varying lengths, and other communication constraints. With numerous intuitive figures to make the content more accessible, the book explores several potential solutions to this topic, ensuring that readers are not only introduced to the latest advances in ILC for systems with random factors, but also gain an in-depth understanding of the intrinsic relationship between incomplete information environments and essential tracking performance. It is a valuable resource for academics and engineers, as well as graduate students who are interested in learning about control, data-driven control, networked control systems, and related fields.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811082672

OTHER EDITION IN ANOTHER MEDIUM

Title
Iterative learning control with passive incomplete information.
International Standard Book Number
9789811082665

TOPICAL NAME USED AS SUBJECT

Intelligent control systems.
Iterative methods (Mathematics)
Intelligent control systems.
Iterative methods (Mathematics)
TECHNOLOGY & ENGINEERING-- Engineering (General)

(SUBJECT CATEGORY (Provisional

TEC-- 009000
TJFM
TJFM

DEWEY DECIMAL CLASSIFICATION

Number
629
.
8/312
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TJ217
.
5

PERSONAL NAME - PRIMARY RESPONSIBILITY

Shen, Dong,1982-

ORIGINATING SOURCE

Date of Transaction
20200823222445.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

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