13.8
Analysis of Dynamic Circuits by Laplace Transforms
Similarly, sin
( )
w
w
w
o
o
o
t u t
s
⇔
+
2
2
is a Laplace transform pair with ROC Re(
s
) > 0.
Consider
v
(
t
)
=
e
-
a
t
cos
b
t
u
(
t
). This can be expressed as
=
[
] /
(
)
(
)
e
e
j
t
j
t
− +
− −
+
a
b
a
b
2 by Euler’s
formula. Then,
∴
=
+ −
+
+ +
=
+
+
+
V s
s
j
s
j
s
s
( )
.
.
(
)
(
)
0 5
0 5
2
2
a
b
a
b
a
a
b
Therefore,
e
t u t
s
s
t
−
⇔
+
+
+
a
b
a
a
b
cos
( )
(
)
(
)
2
2
is a Laplace transform pair with ROC of Re(
s
) >
-
a
.
Similarly,
e
t u t
s
t
−
⇔
+
+
a
b
b
a
b
sin
( )
(
)
2
2
is a Laplace transform pair with ROC of Re(
s
) >
-
a
.
Now consider
v t
e
e
s
u t
s
s t
s t
o
o
( )
( )
(
)
=
−
+∆
∆
The Laplace transform of this function can be found from the defining integral as
V s
s s s
s
s s
s s
s s s
o
o
o
o
( )
(
)(
)
=
− −
+
−
=
− −
−
1
1
1
1
∆
∆
∆
Now
we send
v
(
t
) to a limit as
D
s
→
0.
lim ( )
lim
( )
lim
(
)
(
)
∆
∆
∆
∆
∆
∆
s
s
s
s t
s t
s
s
s t
v t
e
e
s
u t
e
e
o
o
o
→
→
+
→
+
=
−
=
−
0
0
0
ss t
s t
o
o
s
u t
te u t
∆
=
( )
( )
Therefore, Laplace transform of
te u t
s t
o
( )
=
lim
(
)(
) (
)
∆
∆
s
o
o
o
s s
s s s
s s
→
− −
−
=
−
0
2
1
1
Therefore,
te u t
s s
s t
o
o
( )
/ (
)
⇔
−
1
2
is a Laplace transform pair with ROC Re(
s
) > Re(
s
o
).
The special case of
v
(
t
)
=
t
u
(
t
) is covered by this transform pair with
s
o
=
0.
Therefore,
tu t
s
( )
/
⇔
1
2
is a Laplace transform pair with ROC Re(
s
) > 0.
And finally, we consider
v
(
t
)
=
d
(
t
).
V s
t e dt
t e dt
st
( )
( )
( )
=
=
=
−
∞
−
−
+
∫
∫
d
d
0
0
0
0
1 . Thus,
d
( )
t
⇔
1 is a
Laplace transform pair with ROC of entire
s
-plane. It requires all complex exponential functions with
equal intensity to synthesise an impulse function in time-domain.
These commonly used Laplace transform pairs are listed in Table 13.3-1. Some of them have been
derived in this section. Others will be taken up later.
13.10
Analysis of Dynamic Circuits by Laplace Transforms
the response is given by
H
(
s
)
e
st
where
H s
Y s
X s
b s
b
s
b s b
s
a s
a s a
m
m
m
m
o
n
n
n
o
( )
( )
( )
=
=
+
+ +
+
+
+ +
+
−
−
−
−
1
1
1
1
1
1
H
(
s
) in this context is the ratio of complex amplitude of forced response component in output to
the complex amplitude of input complex exponential function with a complex frequency of
s
. There is
only forced response in this context and forced response itself is the total response.
In Section 13.2, we observed that a right-sided function
x
(
t
) can be expressed as a sum of infinitely
many complex exponential functions of frequency between
s
-
j
∞
to
s
+
j
∞
with the line Re(
s
)
=
s
falling within the
ROC of Laplace transform of
x
(
t
). We combine these two facts along with
superposition principle to arrive at the zero-state response of a linear time-invariant circuit to a right-
sided input function.
Consider a particular value of complex frequency
s
and a small band of complex frequency
D
s
centered on it. This band contributes complex exponential functions
of frequencies between
(
s
-
0.5
D
s
) and (
s
+
0.5
D
s
). For sufficiently small
D
s
, we may take all these complex exponential
functions to be evolving approximately at the centre frequency of the band,
i.e.,
at
s
itself. In that case,
all the infinitesimal contributions coming from this band may be consolidated into a signal
≈
X
(
s
)
D
s
e
st
.
This single complex frequency component with complex amplitude of
X
(
s
)
D
s
will produce a total
response component of
H
(
s
)
X
(
s
)
D
s
e
st
in the output. We get the zero-state response of the circuit by
adding all such contributions over the line Re(
s
)
=
s
falling within the ROC of
X
(
s
) and sending the
sum to a limit by making
D
s
→
0. The result will be the following integral.
∴
=
− ∞
+ ∞
∫
y t
H s X s e ds
j
j
st
( )
( ) ( )
s
s
(13.4-1)
Compare Eqn. 13.4-1 with the synthesis equation of Laplace transform given by Eqn. 13.2-2. It
is evident that Eqn. 13.4-1 is the synthesis equation of the Laplace transform
H
(
s
)
X
(
s
). But then, a
synthesis equation which returns
y
(
t
) must be synthesising it from the Laplace transform
Y
(
s
) of the
time-function
y
(
t
). Therefore,
Y
(
s
)
=
H
(
s
)
X
(
s
). This important result requires restatement.
The Laplace transform
of zero-state response
=
Laplace transform of input source
function
×
Ratio of complex amplitude of forced response to the complex amplitude of
input complex exponential function at a complex frequency of
s
.
Now comes a definition.
The ratio of Laplace transform of zero-state response to Laplace transform
of input source function is defined as the s-domain System Function.
And these two are seen to be the
same.
\
The
s
-domain System Function,
H s
Y
s
X s
b s
b
s
b s b
s
a s
a s a
m
m
m
m
o
n
n
n
( )
( )
( )
=
=
+
+ +
+
+
+ +
+
−
−
−
−
zsr
1
1
1
1
1
1
oo
(13.4-2)
Note carefully that System Function is independent of initial conditions in the circuit since it is the
zero-state response to a right-sided input that is employed in its definition. This function is also called
a
Transfer Function
when both
x
and
y
are similar quantities,
i.e.,
when
x
and
y
are voltages or
x
and
y
are currents and is denoted by
T
(
s
). It is called an
Input Impedance Function
and is denoted by
Z
i
(
s
)
Poles and Zeros of System Function and Excitation Function
13.11
if
y
is the voltage across a terminal pair and
x
is the current entering the positive terminal. It is called
an
Input Admittance Function
and is denoted by
Y
i
(
s
) if
y
is the current into a terminal pair and
x
is
the voltage across the terminal pair. These two,
i.e.,
Z
i
(
s
) and
Y
i
(
s
), together are at times referred to as
immittance functions
.
If the quantities
x
and
y
are voltage–current or current–voltage pair and they refer to different
terminal pairs in the circuit, we call the
s
-domain System Function a
Transfer Impedance Function
or
Transfer Admittance Function
, as the case may be. They are represented by
Z
m
(
s
) and
Y
m
(
s
), respectively.
We have an expression for
H
(
s
) as a ratio of rational polynomials in
s
in Eqn. 13.4-2. Rational
polynomials are polynomials containing only integer powers of the independent variable. However,
there is another more interesting interpretation possible for
H
(
s
).
Let us try to find the impulse response of the circuit by this transform technique. We remember that
‘impulse response’ means ‘zero-state response to unit impulse input’ by definition. Hence, we can use
the System Function to arrive at the Laplace transform of impulse response as
H
(
s
)
X
(
s
). But
x
(
t
)
=
d
(
t
)
and therefore
X
(
s
)
=
1. Hence, for a
linear time-invariant circuit, the following statement holds.
Laplace transform of impulse response
=
s-
domain System Function, and, Impulse
response
=
inverse
Laplace transform of
s
-domain system function This result was
anticipated in naming the System Function as
H
(
s
).
Once the System Function and Laplace transform of input source function are known, one can
obtain the Laplace transform of zero-state response by inverting the product of input transform and
System Function. We will take up the task of inverting Laplace transforms in later sections.
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