View source for Approximation of Subnetwork Models using Frequency-Domain Data

{{HTDB paper
| authors = Henrik Sandberg, Richard M. Murray
| title = Approximation of Subnetwork Models using Frequency-Domain Data
| source = Submitted, 2006 Conference on Decision and Control
| year = 2006
| type = Conference Paper
| funding = IST/CMI
| url = http://www.cds.caltech.edu/~murray/preprints/sm06-cdc.pdf
| abstract = 
In this paper, we approximate models of interconnected
systems that are to be used for decentralized control
design. The suggested approach is based on approximation of
so-called subnetwork models. A subnetwork model is a model
of the interconnected system, as seen from one specific
position
in the network. The simplification is done by using
weighted model reduction, and several approximation
criteria
are given. A new method for weighted model reduction is
used. 
The method is based on a combination of known techniques
that use semidefinite programming and frequency-data
samples
of transfer functions. The method is guaranteed to preserve
stability and does not depend strongly on the order of the
original model. This is particularly important for large
interconnected systems. Two examples are given to
illustrate the technique. 
| flags = 
| tag = sm06-cdc
| id = 2006c
}}