Iterative learning control for deterministic systems
type: Item
instance of: scholarly article
title: Iterative learning control for deterministic systems
zbMATH Open document ID: 0773.93002
author: Kevin L. Moore
published in: Advances in Industrial Control
publication date: 1993-09-01T00:00:00Z
review text: The contents of this book on Learning Control are as follows: After the introductory Section 1, an overview of Iterative Learning Control is given. Then linear time invariant systems are discussed. If the system dynamics are known, then, according to the conclusions, iterative learning control does not give interesting results. In the next chapter a scheme is provided, when some parameters are unknown. Then extensions are discussed, including finite horizon problems, time-varying plants and nonlinear systems. Finally, the application of artificial neural networks is discussed. There are two appendices on multirate sampling and artificial neural networks, respectively. The book is well structured and an effort is made to introduce readers to the field and to state clearly the present stage of research.
Mathematics Subject Classification ID: 93-02
Mathematics Subject Classification ID: 93B99
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 68-02
zbMATH DE Number: 408380
zbMATH Keywords: transient design
zbMATH Keywords: learning control
zbMATH Keywords: artificial neural networks
reviewed by: Fritz Colonius
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 408380