Advertisement

H Model Reduction of 2-D Discrete Systems

Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 278)

Abstract

The problem of model reduction for 2-D systems has received considerable attention due to their importance in 2-D signal and image processing applications [61][65][99][100] where it is usually desirable to represent a high-order system by a lower-order model. The essence of model reduction is to obtain a reduced order model which approximates the original system without significant error. Recently, the H model reduction method has attracted a lot of interest for 1-D systems; see [38][55][56]. The H model reduction aims to find a low-order model such that the H norm of the difference between the original model and the reduced order model is small.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Personalised recommendations