Hankel Norm Approximation for Infinite-Dimensional Systems:

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 d...

Full description

Saved in:
Bibliographic Details
Main Author: Sasane, Amol (Author)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2002
Series:Lecture Notes in Control and Information Sciences 277
Subjects:
Online Access:FHI01
BTU01
Volltext
Summary: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 1970s, this book presents explicit solutions and, in particular, new formulae for several large classes of infinite-dimensional systems for the first time
Physical Description:1 Online-Ressource (VIII, 148 p)
ISBN:9783540458777
DOI:10.1007/3-540-45877-8

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text