From: Julien Bect <address@hidden>
To: help-octave Octave <address@hidden>
Sent: Tuesday, September 26, 2017 10:54 AM
Subject: MORLAB (Model Order Reduction LABoratory) v3.0
Seen on the "NA Digest" list :
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Sujet : [NADIGEST] NA Digest, V. 17, # 26
Date : Mon, 25 Sep 2017 23:28:25 -0400
De : NA Digest Editor <address@hidden>
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Pour : address@hidden
From: Steffen W. R. Werner address@hidden Date: September 20, 2017
Subject: Software Release: MORLAB 3.0 Version 3.0 of the MORLAB (Model Order
Reduction LABoratory) toolbox
has been released. The toolbox is a collection of MATLAB/OCTAVE
routines for model order reduction of linear dynamical systems based
on the solution of matrix equations. The implementation is based on
spectral projection methods, e.g., methods based on the matrix sign
function and the matrix disk function. The toolbox contains implementations for
standard and descriptor
systems:
- Modal truncation
- Balanced truncation
- Bounded-real balanced truncation
- Positive-real balanced truncation
- Balanced stochastic truncation
- Linear-quadratic-Gaussian balanced truncation
- H-infinity balanced truncation
- Hankel-norm approximation
Also, matrix equation solvers based on the matrix sign function as
well as further subroutines for linear dynamical systems can be found
in the MORLAB toolbox. For more details on this software, see:
http://www.mpi-magdeburg.mpg.de/projects/morlab_______________________________________________
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I am not familiar with this stuff, but the "model reduction" suggests the SW
might realize what I need - the description of what I need is right below.
Suppose I have an IIR filter expressed in its standard form in, say, Z-domain:
H(z) = B(z)/A(z) where B(z) and A(z) are polynomials in my case of the same
order. The way I obtain the polynomials is through fitting experimental
frequency response, and by the very construction of the method I use the order
of the polynomials is definitely higher than needed to fit the curve.
So, I need to reduce the order of the polynomials - are these Model Order
Reduction algorithms capable of doing what I need provided I change the
representation of the IIR into a matrix form demanded by the algorithms ?