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== Numerical values == |
== Numerical values == |
||
− | The numerical values for the different variables are |
+ | The numerical values for the different variables are |
* the residues <math>r_i, i = 1,\ldots,k</math> are real and equally spaced in <math>[10^{-3},1]</math>, with <math>r_1 = 1]</math> and <math>r_k = 10^{-3}</math>. |
* the residues <math>r_i, i = 1,\ldots,k</math> are real and equally spaced in <math>[10^{-3},1]</math>, with <math>r_1 = 1]</math> and <math>r_k = 10^{-3}</math>. |
||
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* <math>\varepsilon \in [1,20]</math>, |
* <math>\varepsilon \in [1,20]</math>, |
||
+ | |||
+ | |||
+ | In MATLAB this is easily done as follows |
||
+ | <math>\begin{verbatim} Test \end{verbatim}</math> |
Revision as of 15:03, 28 November 2011
Introduction
On this page you will find a purely synthetic parametric model. The goal is to have a simple parametric model which one can use to experiment with different system orders, parameter values etc.
System description
The parameter scales the real part of the system poles, that is,
.
For a system in pole-residue form
we can then write down the state-space realisation
Notice that the system matrices have complex entries.
For simplicity, assume that is even,
, and that all system poles are complex and ordered in complex conjugate pairs, i.e.
which also implies that the residues form complex conjugate pairs
Then a realization with matrices having real entries is given by
with ,
for
.
Numerical values
The numerical values for the different variables are
- the residues
are real and equally spaced in
, with
and
.
linearly spaced between
,
linearly spaced between
,
,
In MATLAB this is easily done as follows
Failed to parse (unknown function "\begin"): \begin{verbatim} Test \end{verbatim}