13.48
Analysis of Dynamic Circuits by Laplace Transforms
circuit of Fig. 13.11-3 (a) with
R
1
=
89.9
W
,
R
2
=
2 k
W
,
C
1
=
100 pF,
C
2
=
5 pF and
g
m
=
0.08. The
corresponding
s
-domain equivalent circuit is shown in circuit (b) of Fig. 13.11-3.
g
m
v
x
v
x
v
o
(
t
)
kv
s
(
t
)
–
–
+
+
(a)
C
1
C
2
R
1
R
2
g
m
V
(
s
)
V
(
s
)
v
o
(
s
)
kV
s
(
s
)
–
–
+
+
(b)
C
2
R
1
R
2
1
sC
2
1
sC
1
Fig. 13.11-3
(a) Reduced version of circuit in Fig. 13.11-1 and (b) Its
s
-domain equivalent
The node equations written for the
two node voltage transforms
V
(
s
) and
V
o
(
s
) are as follows:
V s s C
C
R
V s
sC
kV s
V s
sC
g
V
o
s
m
o
( ) (
)
( )[
]
( )
( )[
]
(
1
2
1
2
2
1
+
+
+
−
=
−
+
+
ss sC
R
s C
C
R
sC
sC
g
sC
R
m
)
(
)
2
2
1
2
1
2
2
2
2
1
0
1
1
+
=
+
+
−
−
+
+
=
V s
V s
kV s
o
s
( )
( )
( )
0
Solving for
V
o
(
s
) and simplifying the expression, we get
H s
V s
V s
k
C
s
s
s
o
s
g
C
g R
R C
R C
R C
m
m
( )
( )
( )
(
)
=
=
−
+
+
+
(
)
+
+
1
2
1
1
1
2
1
1 1
1
2 1
1
2
2
11
1
1 2 1 2
R R C C
(
)
Substituting the numerical
values for various parameters, we get
H s
s
s
s
( )
.
(
.
)
.
(
.
)
=
×
−
×
+
×
+
×
98 76 10
1 6 10
1 016 10
105 47 10
6
10
2
9
6 2
The poles are at
s
= -
10
9
nepers/s and
s
= -
11.07
×
10
6
nepers/s. The zero is at
s
=
1.6
×
10
10
nepers/s.
Note that compared to the pole at –11.07
×
10
6
the other pole and the zero are located two orders
away from it. The natural response term contributed by the pole at
s
= -
11.07
×
10
6
nepers/s will have a
time constant of 90.3 ns whereas the natural response term contributed by the pole at
s
= -
10
9
nepers/s
will have a time constant of 1 ns. Thus the natural response term contributed by the pole at
s
= -
10
9
nepers/s will disappear in about 5% of the time constant of the other term. Therefore, the time constant
of 90.3 ns is the
dominant time constant
in this amplifier and the corresponding pole at –11.07
×
10
6
is the
dominant pole
. The amplifier transfer function can be approximated by neglecting the zero and
the
non-dominant pole to
Impulse Response of Network Functions from Pole-Zero Plots
13.49
H s
s
s
s
s
( )
.
(
.
)
(
)(
.
)
.
(
=
×
−
×
+
+
×
≈
−
×
98 76 10
1 6 10
10
11 07 10
1 58 10
6
10
9
6
9
++
×
= −
×
+
×
11 07 10
142 7
11 07 10
11 07 10
6
6
6
.
)
.
.
.
s
example: 13.11-2
Find (i) Input impedance function and (ii)
V
o
s
V
s
s
( )
( )
in the circuit shown in Fig. 13.11-4.
Solution
Z s
s
s
s
s
s
s
s
s
s
i
( ) (
) //
(
)
(
)(
)
= +
+
=
+
+
+ +
=
+
+
1
1
1
1
1
1
2
1
1
1
2
++
+
=
2
1
1
s
Ω
This is a case of cancellation of all poles by zeros leaving
a real value for a network function. The input impedance
of the circuit is purely resistive at all values of
s
. This
implies that the current drawn by the circuit behaves as in a
memoryless circuit. But, this does not mean that the order
of the circuit is zero.
V s
V s
s
s
s
s
s
s
o
( )
( )
=
+
−
+
=
−
+
1
1
1
1
1
1
The voltage transfer
function has a pole at
s
= -
1 and zero at
s
=
1.
This innocuous circuit challenges our notions on the order of a circuit. It contains two energy storage
elements. Hence it must be a second-order circuit. But no network function defined in this circuit will
be second-order function if the excitation is a voltage source. Even the zero-input response obtained
by shorting the voltage source with initial conditions on inductor and capacitor will contain only
e
-
t
.
The reader is encouraged to analyse the general situation that develops when many sub-circuits with
same set of poles in their input admittance functions are connected in parallel and driven by a common
voltage source. Similarly, he is encouraged to ponder over the order of a circuit resulting from series
connection of many sub-circuits with the same set of poles in their input impedance functions driven
by a common current source. The reader may also note that the current in the circuit in Fig. 13.11-4
will have
e
-
t
and
t e
-
t
terms in zero-input response due to initial energy storage in inductor and
capacitor with input open-circuited (
i.e.,
zero-input response for current source excitation), thereby
confirming it is a second-order circuit.
13.12
Impulse response of network functIons from pole-Zero plots
Let
H s
K
s z s z
s z
s p s p
s p
m
m
( )
(
)(
) (
)
(
)(
) (
)
=
−
−
−
−
−
−
1
2
1
2
be a network function defined
in a linear time-invariant
circuit. Then the impulse response of this network function is given by its inverse transform.
The transform
H
(
s
)
×
1 (1 is the Laplace transform of
d
(
t
)) can be expressed in partial fractions as
below.
V
o
(
t
)
V
S
(
t
)
–
–
+
+
1
Ω
1 H
1 F
1
Ω
Fig. 13.11-4
Circuit for
Example: 13.11-2
13.50
Analysis of Dynamic Circuits by Laplace Transforms
H s
K
s z s z
s z
s p s p
s p
A
s p
A
s
m
m
( )
(
)(
) (
)
(
)(
) (
) (
) (
=
−
−
−
−
−
−
=
−
+
1
2
1
2
1
1
2
−−
+ +
−
p
A
s p
n
n
2
)
(
)
(13.12-1)
We have assumed that all poles are non-repeating ones. If there are repeating poles we may assume
that the poles are slightly apart by
D
p
and evaluate the limit of
h
(
t
) as
D
p
→
0 after we complete the
inversion. We will need a familiar limit
lim
(
)
∆
∆
∆
p
p
p t
pt
pt
e
e
p
te
→
+
−
=
0
for this. This strategy will help us to
view all poles as non-repeating ones at the partial fractions stage.
∴
=
−
=
−
−
−
−
−
=
−
+
∑
H s
A
s p
A
K
s z
s z
s p
s p
s p
i
i
i
n
i
m
i
i
( )
(
)
;
(
) (
)
(
) (
)(
1
1
1
1
11
) (
)
s p
n
s p
i
−
=
(13.12-2)
Thus each pole contributes a complex exponential function to impulse response. The complex
frequency of the complex exponential function contributed by a pole to impulse response is the same
as the value of the pole frequency itself.
A point
s
in the complex signal space (
i.e.,
the
s
-plane) stands for the complex exponential signal
e
st
for all
t
. But, when a point
s
is marked out as a pole of a network function by a ‘
×
’ mark, that signal
point contributes
e
st
u
(
t
) to the impulse response and not
e
st
. Thus, a point in signal space stands for
a two-sided complex exponential signal in general and stands for a right-sided complex exponential
signal when that point is specified as a pole of a network function.
The evaluation of residue
A
i
at
the pole
p
i
involves the evaluation of product of terms like (
p
i
-
z
1
)… (
p
i
-
z
1
) and (
p
i
-
p
1
)… (
p
i
-
p
i
-1
) (
p
i
-
p
i
+
1
)… (
p
i
-
p
n
). Each of these factors will be a complex number.
For instance, consider (
p
i
-
z
1
). This is a complex number that can be represented by a
directed line
drawn from the point
s
=
z
1
in
s
-plane to the point
s
=
p
i
in the
s
-plane with the arrow of the line at
s
=
p
i
. The length of this line gives the magnitude of the complex number (
p
i
-z1) and the angle of
the complex number (
p
i
-
z
1
) is given by the angle the line makes with the positive real axis in the
counter-clockwise direction. The magnitude of product of complex numbers is product of magnitudes
of individual numbers. The angle of product of complex numbers is the sum of angles of individual
complex numbers. Therefore, evaluation of residue
A
i
at the pole
p
i
reduces to determining certain
lengths and angles in the pole-zero plot of the network function.
The reasoning employed in the paragraph above also reveals the roles of poles and zeros of a
network function in deciding the impulse response terms.
The poles decide the number of terms in
impulse response and their complex frequencies. The zeros along with the poles and gain factor K
decide the amplitude of each impulse response term.
A network function is a stable one if its impulse response decays to zero with time. This is
equivalent to stating that its impulse response must be absolutely integrable,
i.e.,
| ( ) |
h t dt
0
∞
∫
must be
finite. Therefore, a network function is stable if all the impulse response terms are damped ones. That
is, all the poles must have negative real values or complex values with negative real parts.
Therefore, a
network function is stable if and only if all its poles are in the left-half of s-plane excluding the j
w
-axis.
Note that a stable network function in a linear time-invariant circuit does not necessarily imply that
the circuit itself is stable. A linear time-invariant circuit is stable only if
all
the network functions that
can be defined in it are stable ones. That is, a stable circuit will have only stable network functions in
it. But, an unstable circuit can have both stable and unstable network functions in it.
The graphical interpretation adduced to impulse response coefficients in this section is illustrated
in the examples that follow.
Impulse Response of Network Functions from Pole-Zero Plots
13.51
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