Choice of Output Signal and Initial Conditions
Recalling that
, the output signal from any diagonal
state-space model is a linear combination of the modal signals. The
two immediate outputs
and
in Fig.G.3 are given
in terms of the modal signals
and
as
The output signal from the first state variable
is
The initial condition
corresponds to modal initial
state
Butterworth Lowpass Poles and Zeros
When the maximally flat optimality criterion is applied to the general
(analog) squared amplitude response
, a surprisingly simple
result is obtained [64]:
where
The analytic continuation
(§D.2)
of
to the whole
-plane may be obtained by substituting
to obtain
with
A Butterworth lowpass filter additionally has
zeros at
.
Under the bilinear transform
, these all map to the
point
, which determines the numerator of the digital filter as
.
Given the poles and zeros of the analog prototype, it is straightforward to convert to digital form by means of the bilinear transformation.
Example: Second-Order Butterworth Lowpass
In the second-order case, we have, for the analog prototype,
To convert this to digital form, we apply the bilinear transform
![]() |
(I.4) | ||
![]() |
(I.5) | ||
![]() |
(I.6) | ||
![]() |
(I.7) |
Note that the numerator is
In the analog prototype,
the cut-off frequency is
rad/sec, where,
from Eq.
(I.1), the amplitude response
is
. Since we mapped the cut-off frequency precisely
under the bilinear transform, we expect the digital filter to have
precisely this gain.
The digital frequency response at one-fourth the sampling rate is
and
Note from Eq.
(I.8) that the phase at cut-off is exactly -90 degrees
in the digital filter. This can be verified against the pole-zero
diagram in the
plane, which has two zeros at
, each
contributing +45 degrees, and two poles at
, each contributing -90
degrees. Thus, the calculated phase-response at the cut-off frequency
agrees with what we expect from the digital pole-zero diagram.
In the
plane, it is not as easy to use the pole-zero diagram
to calculate the phase at
, but using Eq.
(I.3), we
quickly obtain
A related example appears in §9.2.4.
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Bilinear Transformation
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Finding the Eigenstructure of A













