Hankel Norm Approximation for Infinite-Dimensional Systems

Amol Sasane

ISBN 10: 3540433279 / ISBN 13: 9783540433279

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2002, 2002

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Model reduction is an important engineering problem in which one aims to replace an elaborate model by a simpler model without undue loss of accuracy. The accuracy can be mathematically measured in several possible norms and the Hankel norm is one such. The Hankel norm gives a meaningful notion of distance between two linear systems: roughly speaking, it is the induced norm of the operator that maps past inputs to future outputs. It turns out that the engineering problem of model reduction in the Hankel norm is closely related to the mathematical problem of finding solutions to the sub-optimal Nehari-Takagi problem, which is called 'the sub-optimal Hankel norm approximation problem' in this book. Although the existence of a solution to the sub-optimal Hankel norm approximation problem has been known since the 1970's, this book presents explicit solutions and, in particular, new formulae for several large classes of infinite-dimensional systems for the first time.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch.

Seller Inventory # 9783540433279

Bibliographic Details

• Title: Hankel Norm Approximation for Infinite-Dimensional Systems
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Mai 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 3540433279
• ISBN 13: 9783540433279
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

Model reduction is an important engineering problem in which one aims to replace an elaborate model by a simpler model without undue loss of accuracy. The accuracy can be mathematically measured in several possible norms and the Hankel norm is one such. The Hankel norm gives a meaningful notion of distance between two linear systems: roughly speaking, it is the induced norm of the operator that maps past inputs to future outputs. It turns out that the engineering problem of model reduction in the Hankel norm is closely related to the mathematical problem of finding solutions to the sub-optimal Nehari-Takagi problem, which is called "the sub-optimal Hankel norm approximation problem" in this book. Although the existence of a solution to the sub-optimal Hankel norm approximation problem has been known since the 1970's, this book presents explicit solutions and, in particular, new formulae for several large classes of infinite-dimensional systems for the first time.