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[
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2
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2635
v
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Desp
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[
5
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.
Mo
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6
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7
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to
i
m
p
r
o
v
e
th
e
ad
ap
tab
ilit
y
an
d
p
r
ec
is
io
n
o
f
t
h
e
ch
ar
g
i
n
g
p
r
o
ce
s
s
.
T
h
e
PID
co
n
tr
o
ller
is
s
elec
ted
d
u
e
to
its
p
r
o
v
e
n
r
o
b
u
s
tn
ess
in
m
ain
tain
in
g
s
y
s
tem
s
tab
ilit
y
an
d
r
eg
u
latin
g
o
u
tp
u
t
v
o
ltag
e
at
th
e
d
esire
d
s
et
p
o
in
t
[
8
]
.
W
h
ile
p
r
io
r
s
tu
d
ies
h
av
e
co
m
m
o
n
ly
u
tili
ze
d
a
b
u
c
k
co
n
v
er
te
r
,
th
is
s
tu
d
y
em
p
lo
y
s
a
ZETA
co
n
v
er
ter
,
wh
ich
o
f
f
er
s
ad
v
a
n
tag
es
in
ef
f
icien
cy
an
d
th
e
ab
ilit
y
to
p
r
o
d
u
ce
an
o
u
tp
u
t v
o
ltag
e
th
at
i
s
eith
er
h
ig
h
er
o
r
l
o
wer
th
an
t
h
e
in
p
u
t,
d
e
p
en
d
i
n
g
o
n
th
e
lo
a
d
co
n
d
itio
n
[
9
]
.
T
h
e
m
ain
c
o
n
tr
ib
u
tio
n
s
o
f
t
h
is
p
ap
er
ar
e
th
r
ee
f
o
ld
:
i)
Dev
elo
p
m
en
t
o
f
an
ad
ap
tiv
e
ch
ar
g
in
g
m
ec
h
an
is
m
u
s
in
g
th
e
E
B
NN
m
o
d
el
to
d
y
n
am
ically
d
eter
m
i
n
e
th
e
o
p
tim
al
ch
ar
g
in
g
p
ar
am
eter
s
;
ii)
I
n
teg
r
atio
n
o
f
th
e
E
B
NN
with
a
PID
co
n
tr
o
ller
to
e
n
s
u
r
e
o
u
tp
u
t
v
o
ltag
e
s
tab
ilit
y
d
u
r
in
g
th
e
c
h
a
r
g
in
g
p
r
o
ce
s
s
;
an
d
iii)
I
m
p
lem
en
tatio
n
o
f
a
Z
E
T
A
co
n
v
er
ter
t
o
en
h
a
n
ce
v
o
ltag
e
r
eg
u
latio
n
a
n
d
im
p
r
o
v
e
s
y
s
tem
ef
f
icien
cy
co
m
p
ar
ed
to
co
n
v
en
tio
n
al
co
n
v
er
ter
s
.
T
h
e
r
em
ain
d
er
o
f
t
h
is
p
ap
er
is
o
r
g
an
ize
d
as
f
o
llo
ws:
i)
Sectio
n
2
d
escr
ib
es
th
e
m
e
th
o
d
o
lo
g
y
,
in
clu
d
in
g
th
e
s
y
s
tem
ar
ch
itectu
r
e,
co
n
tr
o
l
d
esig
n
,
an
d
im
p
lem
en
tatio
n
o
f
th
e
E
B
NN
-
PID
alg
o
r
ith
m
;
ii)
Sectio
n
3
p
r
esen
ts
th
e
s
im
u
latio
n
s
etu
p
an
d
e
x
p
er
im
e
n
tal
r
esu
lts
,
also
p
r
o
v
i
d
es
a
d
etai
led
d
is
cu
s
s
io
n
a
n
d
co
m
p
ar
ativ
e
a
n
aly
s
is
; a
n
d
iii)
Fin
ally
,
Sectio
n
4
co
n
clu
d
es t
h
e
p
ap
er
an
d
o
u
tlin
es p
o
te
n
tial f
u
tu
r
e
wo
r
k
.
2.
M
E
T
H
O
D
I
n
t
h
i
s
s
y
s
t
e
m
,
a
n
a
d
a
p
t
i
v
e
p
o
w
e
r
c
h
a
r
g
e
c
o
n
t
r
o
ll
e
r
is
d
es
ig
n
e
d
t
o
s
u
p
p
l
y
t
h
e
a
p
p
r
o
p
r
i
a
te
c
h
a
r
g
i
n
g
v
o
l
t
a
g
e
b
a
s
e
d
o
n
t
h
e
s
p
e
c
i
f
i
c
ty
p
e
o
f
D
C
l
o
a
d
,
w
h
i
c
h
c
o
n
s
i
s
ts
o
f
r
e
c
h
a
r
g
e
a
b
l
e
l
i
t
h
i
u
m
-
i
o
n
b
a
t
t
e
r
i
es
w
it
h
v
a
r
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n
g
v
o
l
t
a
g
e
a
n
d
c
a
p
a
c
i
t
y
r
e
q
u
i
r
e
m
e
n
t
s
.
E
a
c
h
b
a
t
t
e
r
y
t
y
p
e
t
y
p
i
c
al
ly
o
p
e
r
a
t
e
s
w
i
t
h
a
d
e
d
i
c
a
te
d
c
h
a
r
g
i
n
g
a
d
a
p
t
e
r
[
1
0
]
,
[
1
1
]
.
T
h
e
r
e
f
o
r
e
,
t
h
e
p
r
o
p
o
s
e
d
s
y
s
t
e
m
u
t
il
i
z
es
a
s
m
a
r
t
c
o
n
t
r
o
l
s
c
h
e
m
e
t
o
p
r
o
v
i
d
e
a
d
a
p
t
i
v
e
c
h
a
r
g
i
n
g
.
2
.
1
.
Sy
s
t
e
m
o
v
er
v
iew
Fig
u
r
e
1
p
r
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ts
t
h
e
s
y
s
tem
b
lo
ck
d
iag
r
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,
in
wh
ich
a
1
2
V
DC
p
o
wer
s
u
p
p
ly
s
er
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a
s
th
e
in
p
u
t
s
o
u
r
ce
.
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h
e
v
o
ltag
e
is
p
r
o
ce
s
s
ed
th
r
o
u
g
h
a
ZETA
co
n
v
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ter
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d
th
e
o
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t
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t
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s
tin
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th
e
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cle
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r
o
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STM
3
2
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m
icr
o
co
n
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o
ller
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eter
m
in
es
th
e
ap
p
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p
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iate
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ased
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e
o
f
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atter
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k
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itio
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t
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t f
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th
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b
a
tter
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le
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g
in
g
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e.
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f
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t
h
e
ch
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g
in
g
c
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r
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n
t w
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e
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r
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Fig
u
r
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1
.
B
lo
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d
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a
d
ap
t
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e
p
o
wer
c
h
ar
g
e
c
o
n
tr
o
ller
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2634
-
2
6
4
4
2636
2
.
2
.
M
o
delin
g
o
f
ZETA
c
o
n
v
er
t
er
T
h
e
ZETA
co
n
v
e
r
ter
is
a
ty
p
e
o
f
DC
-
DC
co
n
v
er
ter
ca
p
ab
le
o
f
p
r
o
d
u
cin
g
o
u
tp
u
t v
o
ltag
es
b
o
th
h
ig
h
er
an
d
lo
wer
th
a
n
th
e
in
p
u
t
v
o
ltag
e,
with
o
u
t
in
v
er
tin
g
p
o
lar
ity
[
1
2
]
-
[
1
6
]
.
T
h
e
ZETA
co
n
v
er
t
er
o
p
er
ates
th
r
o
u
g
h
two
m
o
d
es:
s
witch
ON
an
d
s
witch
OFF.
B
y
ap
p
ly
in
g
Kir
c
h
h
o
f
f
’
s
v
o
ltag
e
law
(
KVL
)
,
t
h
e
d
u
ty
c
y
cle
an
d
co
m
p
o
n
en
t
v
alu
es
ar
e
d
er
iv
e
d
.
T
h
e
c
o
n
v
e
r
ter
’
s
to
p
o
l
o
g
y
is
s
h
o
wn
in
Fig
u
r
e
2
.
T
h
e
(
1
)
-
(
8
)
ca
n
b
e
u
s
ed
t
o
ca
lcu
late
th
e
p
a
r
am
eter
s
n
ee
d
e
d
to
b
u
ild
a
Z
E
T
A
co
n
v
er
ter
.
Fo
llo
win
g
th
e
f
o
u
r
ty
p
es
o
f
D
C
lo
ad
.
T
a
b
le
1
is
a
d
esig
n
p
ar
am
eter
o
f
t
h
e
Z
E
T
A
co
n
v
er
te
r
f
o
r
th
e
ad
a
p
tiv
e
p
o
wer
ch
ar
g
e
c
o
n
tr
o
ller
.
D
=
Vo
Vo
+
Vs
(
1
)
Δ
IL
1
=
r
IL
×
Iin
(
2
)
Δ
IL
1
=
r
IL
×
Iin
x
D
1
−
D
(
3
)
L1
=
L2
=
1
2
(
Vs
×
D
fs
×
Δ
IL
1
)
(
4
)
Δ
Vc
c
=
r
Vc
c
×
Vo
(
5
)
Cc
=
D
×
Io
Δ
V
cc
×
fs
(
6
)
C
in
=
D
×
Iout
Δ
V
cin
×
fs
(
7
)
C
out
=
Δ
IL
2
8
×
Δ
Vo
×
fs
(
8
)
T
ab
le
1
lis
ts
th
e
d
esig
n
p
ar
a
m
eter
s
u
s
ed
f
o
r
s
im
u
latio
n
in
Simu
lin
k
.
B
ased
o
n
(
1
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f
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r
d
if
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er
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ts
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ed
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4
.
4
V,
8
.
8
V,
1
4
.
4
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an
d
2
1
.
6
V.
C
o
r
r
esp
o
n
d
in
g
d
u
ty
cy
cles
ar
e
2
6
.
8
%,
4
2
.
3
%,
5
4
.
5
%,
an
d
6
4
.
3
%.
T
h
e
o
p
e
n
-
lo
o
p
s
im
u
latio
n
r
esu
lts
in
Fig
u
r
e
3
in
d
icate
o
u
t
p
u
t
v
o
lt
ag
e
o
v
er
s
h
o
o
ts
an
d
s
tead
y
-
s
tate
er
r
o
r
s
.
T
ab
le
2
s
u
m
m
ar
izes
th
e
v
o
ltag
e
o
u
tp
u
t
d
ata
an
d
p
er
ce
n
tag
e
er
r
o
r
,
with
an
av
er
ag
e
s
tead
y
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s
tate
er
r
o
r
o
f
0
.
1
9
4
3
%.
T
h
er
ef
o
r
e,
a
f
ee
d
b
ac
k
co
n
tr
o
l sy
s
tem
is
n
ee
d
ed
to
m
ai
n
tain
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o
lta
g
e
s
tab
ilit
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o
m
p
ar
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to
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e
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u
ck
co
n
v
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ter
,
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e
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co
n
v
e
r
ter
o
f
f
er
s
b
etter
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o
ltag
e
ad
ap
ta
b
ilit
y
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o
r
b
o
th
s
tep
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u
p
an
d
s
tep
-
d
o
wn
o
p
er
a
tio
n
s
,
wh
ich
is
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en
ef
icial
in
ad
ap
tiv
e
ch
ar
g
in
g
s
ce
n
ar
io
s
in
v
o
lv
in
g
v
a
r
y
in
g
b
atter
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es.
Prio
r
r
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ch
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as
s
h
o
wn
th
at
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n
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er
ter
s
y
ield
h
ig
h
er
ef
f
icien
cy
an
d
b
etter
v
o
ltag
e
r
eg
u
latio
n
u
n
d
e
r
lo
ad
f
lu
ctu
ati
o
n
[
1
7
]
,
[
1
8
]
.
Fig
u
r
e
2
.
Z
E
T
A
co
n
v
er
ter
cir
c
u
it to
p
o
lo
g
y
T
ab
le
1
.
ZETA
c
o
n
v
e
r
ter
p
ar
a
m
eter
s
P
a
r
a
me
t
e
r
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o
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l
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e
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n
i
t
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n
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t
v
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l
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s
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t
O
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t
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t
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t
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t
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r
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o
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t
2
.
5
A
mp
e
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w
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h
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e
n
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y
Fs
40
k
H
z
I
n
d
u
c
t
o
r
1
L1
1
4
2
.
2
2
μH
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n
d
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c
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o
r
2
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1
4
2
.
2
2
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a
p
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R
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h
m
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ter
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n
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Desig
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d
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ifa
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2637
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Fig
u
r
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.
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E
T
A
c
o
n
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ter
o
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e
n
lo
o
p
wa
v
e
with
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d
if
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er
e
n
t lo
ad
s
: (
a)
d
u
ty
cy
cle
2
6
.
8
%,
(
b
)
d
u
ty
cy
cle
4
2
.
3
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(
c)
d
u
ty
cy
cle
5
4
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4
%,
an
d
(
d
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d
u
ty
c
y
cle
6
4
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3
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2
.
3
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Desig
n o
f
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B
NN
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P
I
D)
a
lg
o
rit
hm
2
.
3
.
1
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Da
t
a
co
llect
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n a
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ce
s
s
ing
T
h
e
tr
ain
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n
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f
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ata
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les
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ac
h
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r
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o
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3
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ra
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r
r
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ic
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io
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[
1
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[
2
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h
e
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th
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Ma
r
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n
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ig
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atter
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n
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t
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p
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ates
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e
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er
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o
r
m
ed
u
s
in
g
g
r
ad
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escen
t
with
m
o
m
en
t
u
m
(
L
ea
r
n
g
d
m
)
.
Fig
u
r
e
4
s
h
o
ws th
e
E
B
NN
ar
ch
itectu
r
e
u
s
ed
in
th
is
s
tu
d
y
.
Fig
u
r
e
4
.
Desig
n
o
f
E
B
NN
n
et
wo
r
k
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2634
-
2
6
4
4
2638
T
r
ain
in
g
r
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lts
s
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at
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e
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NN
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h
iev
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MSE
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0
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e
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4
,
in
d
icatin
g
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ig
h
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n
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e
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ictin
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e
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h
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g
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g
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s
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in
t.
T
h
e
tr
ain
e
d
E
B
NN
m
o
d
el
is
im
p
lem
en
ted
i
n
th
e
STM
3
2
F
4
m
icr
o
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o
n
tr
o
ller
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en
ab
le
r
ea
l
-
tim
e
d
ec
is
io
n
-
m
a
k
in
g
.
Fig
u
r
e
5
(
a
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s
h
o
ws
th
e
tar
g
et
d
ata
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ch
ar
g
in
g
v
o
ltag
e
s
etp
o
in
ts
)
,
wh
ile
Fig
u
r
e
5
(
b
)
ill
u
s
tr
ates
th
e
in
p
u
t
d
ata
(
cu
r
r
en
t
an
d
v
o
lta
g
e)
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s
ed
f
o
r
lear
n
in
g
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Fig
u
r
e
6
illu
s
tr
a
tes
th
e
r
elatio
n
s
h
ip
b
etwe
en
in
p
u
ts
an
d
th
e
tar
g
et
o
u
tp
u
t
f
o
r
th
e
p
er
f
o
r
m
a
n
ce
L
av
er
n
b
e
r
g
-
Ma
r
q
u
ar
d
t
alg
o
r
it
h
m
[
2
1
]
.
(
a)
(
b
)
Fig
u
r
e
5
.
Data
g
r
ap
h
lea
r
n
in
g
o
f
E
B
NN
:
(
a)
tar
g
et
d
ata
a
n
d
(
b
)
in
p
u
t d
ata
Fig
u
r
e
6
.
Per
f
o
r
m
an
c
e
L
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n
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er
g
-
Ma
r
q
u
ar
d
t
a
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o
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ith
m
2
.
3
.
3
.
P
I
D
co
ntr
o
l desig
n a
nd
t
un
ing
On
ce
th
e
alg
o
r
ith
m
d
esig
n
is
co
m
p
leted
,
t
h
e
n
e
x
t
s
tep
in
v
o
lv
es
tu
n
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g
th
e
PID
co
n
tr
o
ller
to
r
eg
u
late
th
e
o
u
tp
u
t
v
o
ltag
e
o
f
th
e
E
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NN
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o
r
ith
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,
en
s
u
r
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g
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n
s
is
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tly
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ain
tain
s
th
e
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r
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in
e
d
s
etp
o
in
t
ac
co
r
d
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g
to
th
e
lo
a
d
r
eq
u
ir
e
m
en
ts
.
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o
en
ab
le
t
h
e
PID
co
n
tr
o
ller
to
ef
f
ec
tiv
ely
s
tab
ilize
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d
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g
u
late
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e
o
u
tp
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t
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e
d
esp
ite
v
ar
iatio
n
s
in
in
p
u
t
v
o
ltag
e
an
d
lo
a
d
co
n
d
itio
n
s
,
a
p
r
ec
is
e
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d
well
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s
tr
u
ctu
r
ed
PID
co
n
tr
o
l d
esig
n
is
ess
en
tial [
2
2
]
-
[
2
5
]
.
T
h
e
PID
co
n
t
r
o
ller
s
tab
ilizes
th
e
o
u
t
p
u
t
v
o
ltag
e
at
th
e
s
etp
o
in
t
p
r
ed
icted
b
y
E
B
NN.
T
h
e
Z
ieg
ler
-
Nich
o
ls
tu
n
in
g
m
eth
o
d
is
u
s
ed
to
d
eter
m
in
e
in
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PID
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ar
a
m
eter
s
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ased
o
n
th
e
e
x
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im
e
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tal
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e
o
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th
e
s
y
s
tem
.
T
ab
le
3
lis
ts
th
e
f
o
r
m
u
las f
o
r
v
ar
i
o
u
s
co
n
tr
o
ller
ty
p
es.
Fro
m
s
im
u
latio
n
an
d
tu
n
in
g
:
K
p
: 0
.
0
0
1
0
2
7
6
2
(
9
)
K
i
: 3
5
.
5
5
2
5
(
1
0
)
K
d
: 1
.
4
2
5
8
2
2
×
10
-
10
(
1
1
)
T
h
e
s
e
v
a
l
u
es
a
r
e
i
m
p
le
m
e
n
t
e
d
i
n
t
h
e
c
o
n
t
r
o
l
l
e
r
t
o
m
i
n
i
m
i
z
e
e
r
r
o
r
a
n
d
e
n
s
u
r
e
v
o
l
t
a
g
e
s
ta
b
i
l
it
y
d
u
r
i
n
g
c
h
a
r
g
i
n
g
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Desig
n
o
f a
n
E
B
N
N
-
P
I
D
b
a
s
e
d
a
d
a
p
tive
ch
a
r
g
e
c
o
n
tr
o
ller
fo
r
…
(
Mo
ch
a
mma
d
Ma
c
h
mu
d
R
ifa
d
il
)
2639
T
ab
le
3
.
Z
ieg
ler
-
Nich
o
ls
t
u
n
in
g
PID
co
n
tr
o
ller
p
ar
am
eter
s
Ty
p
e
o
f
c
o
n
t
r
o
l
l
e
r
Kp
Ti
Td
P
T/
L
~
0
PI
0
.
9
(
T
/
L)
L/
0
.
3
0
P
I
D
1
.
2
(
T
/
L)
2L
0
.
5
L
2
.
3
.
4
.
Sy
s
t
em
i
m
plem
ent
a
t
io
n wo
rk
f
lo
w
Fig
u
r
e
7
s
h
o
ws th
e
s
y
s
tem
f
lo
wch
ar
t.
T
h
e
im
p
lem
en
tatio
n
f
o
llo
ws th
is
s
eq
u
en
ce
:
i)
I
n
itializatio
n
:
d
u
ty
c
y
cle
(
D)
,
Vo
,
I
o
,
Vsp
;
ii)
L
o
ad
d
etec
tio
n
:
I
f
n
o
lo
ad
is
co
n
n
ec
ted
,
D
=
0
→
Vo
=
0
;
iii)
Du
ty
cy
cle
tr
ac
k
in
g
: I
f
l
o
ad
is
d
etec
ted
,
in
cr
ea
s
e
D
u
n
til I
o
≥
0
.
2
A
;
iv
)
E
B
NN
ex
ec
u
tio
n
: I
n
p
u
t V
o
an
d
I
o
→
p
r
ed
ict
s
etp
o
in
t v
o
ltag
e
Vsp
; a
n
d
v)
PID
co
n
tr
o
l
: Reg
u
late
Vo
to
m
atch
Vsp
.
C
h
ar
g
in
g
s
etp
o
in
ts
u
s
ed
:
i)
4
.
4
V
f
o
r
a
3
.
7
V
b
atter
y
,
ii)
8
.
8
V
f
o
r
a
7
.
4
V
b
atter
y
,
iii)
1
4
.
4
V
f
o
r
a
12
V
b
atter
y
,
a
n
d
iv
)
2
1
.
6
V
f
o
r
a
n
18
V
b
atter
y
.
T
h
is
d
esig
n
en
a
b
les
ad
ap
tiv
e
c
h
ar
g
in
g
b
ased
o
n
r
ea
l
-
tim
e
b
atter
y
id
en
tific
atio
n
u
s
in
g
E
B
NN
an
d
en
s
u
r
es
co
n
s
tan
t
ch
ar
g
i
n
g
v
o
ltag
e
th
r
o
u
g
h
PID
r
eg
u
latio
n
.
T
h
e
in
teg
r
atio
n
o
f
E
B
NN
an
d
PID
o
f
f
er
s
a
h
y
b
r
i
d
in
tellig
en
t c
o
n
t
r
o
l sy
s
tem
f
o
r
f
lex
ib
le
DC
ch
ar
g
i
n
g
ap
p
licatio
n
s
.
Fig
u
r
e
7
.
Flo
wch
ar
t
s
y
s
tem
ad
ap
tiv
e
p
o
wer
c
h
ar
g
e
co
n
tr
o
ller
3.
RE
SU
L
T
S AN
D
D
I
SCU
SS
I
O
N
T
h
e
ad
ap
tiv
e
p
o
wer
ch
ar
g
e
co
n
tr
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ller
s
y
s
tem
th
at
h
as
b
ee
n
d
ev
elo
p
ed
was
ev
al
u
ated
th
r
o
u
g
h
s
im
u
latio
n
-
b
ased
test
in
g
to
v
e
r
if
y
its
p
er
f
o
r
m
a
n
ce
.
T
h
is
in
cl
u
d
es lo
ad
id
en
tific
atio
n
test
in
g
to
co
n
f
ir
m
th
at
th
e
E
lm
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ac
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r
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r
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ith
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s
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t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2634
-
2
6
4
4
2640
3
.
1
.
L
o
a
d
identif
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esti
ng
T
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Simu
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d
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p
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atter
ies:
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3
.
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V
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atter
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.
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c
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8
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ar
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atter
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)
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;
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
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2641
iii)
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ac
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r
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e
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o
ller
,
in
d
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it
ca
n
b
e
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f
f
ec
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p
lied
to
a
wid
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r
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n
g
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o
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lith
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m
-
i
o
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
16
,
No
.
4
,
Dec
em
b
er
20
25
:
2634
-
2
6
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4
2642
b
atter
y
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p
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in
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ch
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g
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n
ar
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s
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n
s
u
m
m
ar
y
,
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h
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im
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lts
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at
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e
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m
eth
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r
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ate
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ith
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tp
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DG
M
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tc
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
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E
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&
Dr
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s
t
I
SS
N:
2088
-
8
6
9
4
Desig
n
o
f a
n
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B
N
N
-
P
I
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b
a
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(
Mo
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d
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mu
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)
2643
DATA AV
AI
L
AB
I
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h
e
au
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[
an
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p
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ater
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]
.
RE
F
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E
NC
E
S
[
1
]
I
.
G
.
A
.
A
.
D
.
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sr
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t
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[
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m
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4
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D
.
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