عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9781447119128
(Number (ISBN
9781447119142
NATIONAL BIBLIOGRAPHY NUMBER
Number
dltt
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Iterative Learning Control for Deterministic Systems
General Material Designation
[Book]
First Statement of Responsibility
by Kevin L. Moore.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London :
Name of Publisher, Distributor, etc.
Springer London,
Date of Publication, Distribution, etc.
1993.
SERIES
Series Title
Advances in Industrial Control,
ISSN of Series
1430-9491
CONTENTS NOTE
Text of Note
Contents: Learning Control: An Overview -- Linear Time-Invariant Learning Control -- LTI Learning Control via Parameter Estimation -- Finite-Horizon Learning Control -- Learning Control for Nonlinear Systems -- Time-Varying Learning Controller for a Class of Nonlinear Systems -- Artificial Neural Networks for Nonlinear Learning Control -- Appendix A: Basic Results on Multirate Sampling -- Appendix B: Neural Networks: An Overview.
0
SUMMARY OR ABSTRACT
Text of Note
Iterative Learning Control for Deterministic Systems is part of the new Advances in Industrial Control series, edited by Professor M.J. Grimble and Dr. M.A. Johnson of the Industrial Control Unit, University of Strathclyde. The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9781447119142
PIECE
Title
Springer eBooks
TOPICAL NAME USED AS SUBJECT
Computer-aided design.
Engineering economy.
Engineering.
Machinery.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Moore, Kevin L.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
SpringerLink (Online service)
ORIGINATING SOURCE
Date of Transaction
20190307154700.0
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
