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Vo
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,
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4
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Dec
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201
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1
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istu
r
b
a
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th
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u
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ra
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s.
K
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d
:
B
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o
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ter
Fu
zz
y
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Ma
tlab
/
s
i
m
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Co
p
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rig
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t
©
201
8
In
s
t
it
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te o
f
A
d
v
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d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
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e
.
Al
l
rig
h
ts
re
se
rv
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d
.
C
o
r
r
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s
p
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nd
ing
A
uth
o
r
:
W
alee
d
I
s
h
aq
Ha
m
ee
d
,
Dep
ar
te
m
en
t o
f
E
lectr
ical
E
n
g
in
ee
r
in
g
,
Oil T
r
ain
in
g
I
n
s
tit
u
te
,
B
asra
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I
r
aq
.
E
m
ail:
w
alee
d
_
is
h
aq
5
@
y
a
h
o
o
.
co
m
1.
I
NT
RO
D
UCT
I
O
N
No
w
ad
ay
s
,
DC
p
o
w
er
s
u
p
p
lies
ar
e
w
id
ely
u
tili
ze
d
in
m
an
y
ar
ea
s
co
m
p
r
o
m
is
in
g
o
f
s
im
p
le
elec
tr
o
n
ic
d
ev
ices
s
u
ch
as
n
o
teb
o
o
k
co
m
p
u
ter
s
,
till
ev
en
m
o
r
e
ad
v
an
ce
ap
p
licatio
n
s
u
ch
as
elec
tr
ic
v
eh
icle
an
d
also
th
e
ae
r
o
s
p
ac
e
ap
p
licatio
n
s
[
1
]
.
Hen
ce
,
th
e
DC
-
DC
co
n
v
e
r
ter
is
u
s
u
ally
u
s
ed
b
y
co
n
v
er
t
a
DC
v
o
ltag
e
to
a
d
if
f
er
en
t
DC
v
o
ltag
e
lev
el
in
o
r
d
er
to
p
r
o
v
id
e
th
e
DC
v
o
ltag
e
s
o
u
r
ce
lev
el
r
eq
u
ir
em
en
ts
o
f
th
e
lo
ad
to
th
e
DC
p
o
w
er
s
u
p
p
ly
,
I
n
ad
d
itio
n
,
th
e
DC
-
DC
co
n
v
er
ter
is
also
an
im
p
o
r
tan
t
ap
p
licatio
n
f
o
r
th
e
p
o
w
er
co
n
d
itio
n
in
g
o
f
th
e
alter
n
ativ
e
elec
tr
ical
en
er
g
y
s
u
ch
as
p
h
o
to
v
o
ltaic,
w
in
d
g
en
er
ato
r
an
d
f
u
el
ce
ll
s
y
s
tem
.
Du
e
to
th
ese
r
ea
s
o
n
s
,
th
e
DC
-
DC
co
n
v
er
ter
ap
p
licatio
n
w
ill
h
ea
d
to
a
m
o
r
e
p
o
ten
tial m
ar
k
et
in
th
e
f
u
tu
r
e
[
2
]
.
Ma
in
ly
,
th
e
DC
-
DC
co
n
v
er
ter
co
n
s
is
ts
o
f
th
e
p
o
w
er
s
em
ico
n
d
u
cto
r
d
ev
ices
w
h
ich
ar
e
o
p
er
ated
as
elec
tr
o
n
ic
s
w
itch
es
an
d
class
if
ied
as
s
w
itch
ed
-
m
o
d
e
DC
-
DC
co
n
v
er
ter
s
o
r
n
o
r
m
ally
r
ef
er
s
as
Sw
itch
ed
m
o
d
e
p
o
w
er
s
u
p
p
ly
.
T
o
ac
h
iev
e
th
e
o
u
tp
u
t
v
o
ltag
e
co
n
s
tan
t,
f
ee
d
b
ac
k
co
n
tr
o
l
lo
o
p
is
us
ed
to
au
to
m
ati
ca
lly
ad
j
u
s
t
th
e
d
u
ty
cy
cle
r
eg
ar
d
less
o
f
in
p
u
t
v
o
ltag
e
v
ar
iatio
n
an
d
lo
ad
ch
an
g
e
s
[
3
]
.
Op
er
atio
n
o
f
th
e
s
w
itch
in
g
d
ev
ices
ca
u
s
es
th
e
n
atu
r
ally
n
o
n
lin
ea
r
ch
ar
ac
ter
is
tic
o
f
th
e
B
o
o
s
t
co
n
v
er
ter
s
[
4
]
.
Du
e
to
th
ese
u
n
n
ec
ess
ar
y
n
o
n
lin
ea
r
ch
ar
ac
ter
is
tics
,
th
e
co
n
v
er
ter
s
r
eq
u
ir
e
a
co
n
tr
o
ller
w
ith
a
h
ig
h
d
eg
r
ee
o
f
d
y
n
am
ic
r
esp
o
n
s
e
[
5
]
.
P
I
D
co
n
tr
o
ller
s
u
n
d
er
g
o
f
r
o
m
r
ep
ea
ted
tu
n
in
g
o
f
th
eir
p
ar
am
eter
s
f
o
r
d
is
tu
r
b
an
ce
co
n
d
itio
n
s
an
d
d
if
f
er
en
t
lo
ad
s
[
6
]
.
P
I
D
co
n
tr
o
ller
h
av
e
s
o
m
e
d
is
ad
v
an
tag
es
s
u
ch
as
s
lo
w
r
esp
o
n
s
e
to
t
h
e
s
u
d
d
en
ch
an
g
e
in
th
e
lo
ad
o
r
d
is
tu
r
b
an
ce
in
th
e
in
p
u
t
v
o
ltag
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
694
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
er
2
0
1
8
:
1657
–
1
6
6
5
1658
On
e
o
f
th
e
d
esig
n
tar
g
ets
f
o
r
elec
tr
o
n
ic
en
g
in
ee
r
s
is
to
im
p
r
o
v
e
th
e
ef
f
icien
cy
o
f
p
o
w
er
co
n
v
er
s
io
n
.
Fo
r
P
W
M
(
p
u
ls
e
-
w
id
th
m
o
d
u
latio
n
)
co
n
v
er
ter
s
,
s
w
itch
in
g
lo
s
s
is
an
im
p
o
r
tan
t
p
er
f
o
r
m
an
ce
m
ea
s
u
r
e
[
7
].
T
h
e
ar
tif
icial
in
tellig
en
t
co
n
tr
o
l,
s
u
ch
as
Fu
zz
y
lo
g
ic
an
d
n
eu
r
al
n
etw
o
r
k
ar
e
v
er
y
ca
p
ab
le
f
o
r
th
e
id
en
tif
icatio
n
,
ad
ap
tiv
e
an
d
co
n
tr
o
l
f
o
r
n
o
n
lin
ea
r
d
y
n
am
ical
s
y
s
tem
s
[
8
]
.
Fu
zz
y
Neu
r
al
co
n
tr
o
l
is
an
attr
ac
tiv
e
co
n
tr
o
l
m
eth
o
d
b
ec
au
s
e
its
s
tr
u
c
tu
r
e,
co
n
s
is
tin
g
o
f
f
u
zz
y
s
ets
th
at
allo
w
p
ar
tial
m
em
b
er
s
h
ip
an
d
“
if
-
th
en
”
r
u
les,
r
esem
b
les
th
e
w
ay
h
u
m
an
in
tu
itiv
ely
ap
p
r
o
ac
h
es
a
co
n
tr
o
l
p
r
o
b
lem
.
T
h
is
m
ak
es
it
ea
s
y
f
o
r
a
d
esig
n
er
to
in
co
r
p
o
r
ate
h
eu
r
is
tic
k
n
o
w
led
g
e
o
f
a
s
y
s
tem
in
to
th
e
co
n
tr
o
ller
.
Fu
zz
y
Neu
r
al
co
n
tr
o
l
is
o
b
v
io
u
s
ly
a
g
r
ea
t
v
alu
e
f
o
r
p
r
o
b
lem
s
w
h
er
e
th
e
s
y
s
tem
is
d
if
f
icu
lt
to
m
o
d
el
d
u
e
to
co
m
p
lex
ity
,
n
o
n
-
lin
ea
r
ity
,
an
d
im
p
r
ec
is
io
n
.
DC
-
DC
b
o
o
s
t
co
n
v
er
ter
s
f
all
in
to
th
is
ca
teg
o
r
y
b
ec
au
s
e
th
ey
h
av
e
a
tim
e
-
v
ar
y
in
g
s
tr
u
ctu
r
e
an
d
co
n
tain
elem
en
t
s
th
at
ar
e
n
o
n
-
lin
ea
r
an
d
h
av
e
p
ar
asit
ic
co
m
p
o
n
en
ts
[
9
].
T
h
e
ar
tif
icial
in
tellig
en
t
co
n
tr
o
l
s
u
ch
as
Fu
zz
y
Neu
r
al
is
f
ast
in
elim
in
atio
n
th
e
d
is
tu
r
b
an
ce
s
.
I
n
th
is
p
ap
er
,
MA
T
L
A
B
Sim
u
lin
k
is
u
s
ed
as
a
p
latf
o
r
m
in
d
esig
n
in
g
th
e
DC
-
DC
b
o
o
s
t
co
n
v
er
ter
an
d
Fu
zz
y
Neu
r
al
Netw
o
r
k
(
FNN)
co
n
tr
o
ller
in
o
r
d
er
to
s
tu
d
y
th
e
d
y
n
am
ic
b
eh
av
io
r
o
f
d
c
to
d
c
co
n
v
er
ter
an
d
p
er
f
o
r
m
an
ce
o
f
p
r
o
p
o
s
ed
co
n
tr
o
ller
.
2.
DC
-
DC
B
O
O
ST
CO
NVER
T
E
R
T
h
e
f
u
n
ctio
n
o
f
b
o
o
s
t
co
n
v
er
t
er
is
to
s
er
v
es
as
s
tep
u
p
v
o
lta
g
e
f
r
o
m
o
n
e
le
v
el
to
an
o
th
er
l
ev
el
[
1
0
]
.
T
h
e
cir
cu
it o
f
DC
-
D
C
b
o
o
s
t c
o
n
v
e
r
ter
is
s
h
o
w
n
in
F
ig
u
r
e
1
.
Fig
u
r
e
1
.
DC
-
D
C
B
o
o
s
t Co
n
v
er
ter
cir
cu
it [
11
]
T
h
e
eq
u
atio
n
s
d
esi
g
n
o
f
L
o
s
s
b
o
o
s
t
co
n
v
er
ter
in
C
C
M
ca
n
b
e
w
r
itte
n
as
f
o
llo
w
i
n
g
[
1
2
]
.
T
h
e
in
p
u
t
to
o
u
tp
u
t v
o
lta
g
e
co
n
v
er
s
io
n
r
ati
o
is
o
b
tain
ed
as:
=
1
−
(
1
)
T
h
e
d
u
t
y
r
atio
o
f
th
e
lo
s
s
b
o
o
s
t c
o
n
v
er
ter
is
=
1
−
M
DC
=
1
−
(
2
)
w
h
er
e
is
t
h
e
ef
f
icie
n
c
y
o
f
th
e
co
n
v
er
ter
an
d
is
th
e
v
o
lta
g
e
tr
an
s
f
er
al
f
u
n
ctio
n
s
.
T
h
e
m
in
i
m
u
m
a
n
d
th
e
m
ax
i
m
u
m
lo
ad
r
esis
ta
n
ce
s
ar
e
=
(
3
)
a
nd
=
(
4
)
T
h
e
m
i
n
i
m
u
m
,
n
o
m
in
al,
a
n
d
m
ax
i
m
u
m
v
a
lu
e
s
o
f
t
h
e
v
o
lta
g
e
tr
an
s
f
er
al
f
u
n
c
tio
n
ar
e
=
(
5
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
I
SS
N:
2088
-
8
694
V
o
lta
g
e
Tr
a
ck
in
g
C
o
n
tr
o
l o
f
DC
-
DC
B
o
o
s
t Co
n
ve
r
te
r
Usi
n
g
F
u
z
z
y
N
eu
r
a
l Netw
o
r
k
(
W
a
leed
I
s
h
a
q
Ha
mee
d
)
1659
=
(
6
)
a
nd
=
(
7
)
=
1
−
M
D
Cm
in
(
8
)
=
1
−
M
D
Cno
m
(
9
)
3.
F
U
Z
Z
Y
N
E
UR
AL
N
E
T
WO
RK
S
A
f
av
o
r
ab
le
ap
p
r
o
ac
h
to
o
b
t
ain
i
n
g
t
h
e
b
en
e
f
its
o
f
b
o
th
f
u
zz
y
a
n
d
n
eu
r
al
n
et
w
o
r
k
s
y
s
te
m
s
i
s
to
in
te
g
r
ates
b
o
th
n
eu
r
al
n
et
wo
r
k
s
an
d
f
u
zz
y
lo
g
ic
p
r
in
ci
p
les
[
1
3
]
.
T
h
e
in
teg
r
ated
s
y
s
te
m
w
il
l
tak
e
th
e
ad
v
an
ta
g
es
o
f
lear
n
in
g
ab
ilit
i
es,
o
p
tim
izatio
n
ab
ilit
ie
s
,
an
d
co
n
n
ec
tio
n
is
t
s
tr
u
ct
u
r
es
(
in
n
e
u
r
al
n
et
w
o
r
k
)
w
it
h
IF
-
T
HE
N
h
u
m
a
n
li
k
e
r
u
les
t
h
i
n
k
i
n
g
an
d
ea
s
e
o
f
co
m
b
i
n
in
g
ex
p
er
t
k
n
o
w
led
g
e)
.
Fu
zz
y
n
eu
r
al
n
et
w
o
r
k
s
(
FNN)
ex
p
lain
f
u
zz
y
p
ar
a
m
eter
f
r
o
m
g
iv
e
n
tr
ai
n
i
n
g
d
ata.
T
h
is
is
u
s
u
all
y
d
o
n
e
b
y
u
s
in
g
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
w
it
h
a
n
eu
r
al
n
et
w
o
r
k
.
T
h
e
s
tr
u
ct
u
r
al
d
esig
n
o
f
FNN
s
h
o
w
n
in
Fi
g
u
r
e
2
.
I
n
t
h
e
f
o
llo
w
in
g
s
u
b
s
ta
n
ce
s
ea
ch
la
y
er
w
ill
b
e
d
ef
in
ed
[
14
].
I
n
p
u
t
L
a
y
er
:
th
i
s
la
y
er
tr
a
n
s
m
it
s
t
h
e
cr
is
p
v
ar
iab
les
x
_
n
to
th
e
o
u
tp
u
t
w
it
h
o
u
t
c
h
a
n
g
ed
.
Hid
d
en
L
a
y
er
: th
i
s
la
y
er
r
ep
r
e
s
en
t
s
th
e
i
n
p
u
t c
r
i
s
p
v
al
u
es
w
i
th
th
e
f
o
llo
w
i
n
g
Ga
u
s
s
ia
n
f
u
n
ctio
n
s
:
=
(
−
1
2
(
−
)
²
2
)
(
1
0
)
Fig
u
r
e
2
.
A
r
ch
itectu
r
e
o
f
FNN
W
h
er
e
cij
an
d
s
ij
(
i=1
,
2
,
.
,
n
;
j
=1
,
2
,
.
.
,
m
)
,
ar
e
th
e
m
ea
n
an
d
s
tan
d
ar
d
d
ev
iatio
n
o
f
th
e
Gau
s
s
ia
n
f
u
n
ctio
n
r
esp
ec
tiv
el
y
i
n
th
e
j
th
ter
m
o
f
th
e
i
th
in
p
u
t
l
in
g
u
is
tic
v
a
r
iab
le
x
j
to
th
e
n
o
d
e
o
f
th
is
l
a
y
er
.
Hid
d
en
L
a
y
er
:
th
i
s
la
y
er
i
m
p
le
m
en
t
s
t
h
e
f
u
zz
y
in
f
er
en
ce
m
ec
h
an
i
s
m
.
T
h
e
o
u
tp
u
t o
f
th
i
s
la
y
er
is
g
i
v
en
a
s
:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
694
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
er
2
0
1
8
:
1657
–
1
6
6
5
1660
=
∏
(
1
1
)
w
h
er
e
ϕ
i
r
ep
r
esen
t
th
e
i
th
o
u
tp
u
t
o
f
r
u
le
la
y
er
.
O
u
tp
u
t
L
a
y
er
:
t
h
is
la
y
er
r
ep
r
esen
ts
o
u
tp
u
t
li
n
g
u
is
t
ic
v
ar
iab
le
s
.
T
h
is
co
m
p
u
tes t
h
e
o
u
tp
u
t a
s
:
=
∑
(
1
2
)
w
h
er
e
d
en
o
t
e
th
e
i
th
o
u
t
p
u
t w
eig
h
t.
4.
DE
SI
G
N
O
F
V
O
L
T
AG
E
T
R
ACK
I
NG
CO
NT
RO
L
T
h
e
b
lo
ck
d
iag
r
am
o
f
v
o
lta
g
e
tr
ac
k
in
g
co
n
tr
o
l is
s
h
o
w
n
in
Fi
g
u
r
e
3
.
Fig
u
r
e
3
.
B
lo
ck
d
iag
r
a
m
o
f
v
o
ltag
e
tr
ac
k
in
g
co
n
tr
o
l
Fig
u
r
e
4
s
h
o
w
s
t
h
e
Ma
tlab
/Si
m
u
lin
k
o
f
D
C
-
D
C
b
o
o
s
t c
o
n
v
er
ter
w
it
h
P
I
co
n
tr
o
ller
.
Fig
u
r
e
4
.
Si
m
u
li
n
k
i
m
p
le
m
e
n
t
atio
n
o
f
P
W
M
B
o
o
s
t C
o
n
v
er
te
r
b
ased
o
n
PI
co
n
tr
o
ller
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
I
SS
N:
2088
-
8
694
V
o
lta
g
e
Tr
a
ck
in
g
C
o
n
tr
o
l o
f
DC
-
DC
B
o
o
s
t Co
n
ve
r
te
r
Usi
n
g
F
u
z
z
y
N
eu
r
a
l Netw
o
r
k
(
W
a
leed
I
s
h
a
q
Ha
mee
d
)
1661
B
ased
o
n
ab
o
v
e
m
e
n
tio
n
ed
d
e
s
ig
n
eq
u
atio
n
s
,
P
W
M
B
o
o
s
t
C
o
n
v
er
ter
h
ad
b
ee
n
d
esi
g
n
ed
to
m
ee
t
th
e
f
o
llo
w
in
g
s
p
ec
i
fi
ca
tio
n
s
:
Vi=
1
4
v
,
VO
=
2
8
V,
I
Om
a
x
=
1
4
A
,
I
Om
in
=
3
.
5
A
,
an
d
Vr
/
VO
<
1
%.
A
s
s
u
m
e
th
at
b
o
o
s
t c
o
n
v
er
ter
o
p
er
ate
in
C
C
M
a
n
d
th
e
d
u
t
y
r
atio
v
ar
ie
s
f
r
o
m
0
.
4
to
0
.
7
5
.
Fig
u
r
e
5
s
h
o
w
s
t
h
e
d
ev
e
lo
p
ed
m
o
d
el
s
y
s
te
m
w
it
h
f
u
zz
y
-
n
eu
r
al
co
n
tr
o
ller
.
T
h
e
p
ar
a
m
e
t
er
s
o
f
th
e
f
u
zz
y
-
n
e
u
r
al
co
n
tr
o
ller
(
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
s
a
n
d
o
u
tp
u
t
w
ei
g
h
ts
)
h
ad
b
ee
n
tr
ai
n
i
n
g
o
f
f
-
l
in
e
u
s
i
n
g
m
-
f
il
e
an
d
th
e
n
th
e
o
p
ti
m
al
v
al
u
es
f
ed
to
t
h
e
f
u
zz
y
-
n
e
u
r
al
co
n
t
r
o
ller
b
lo
ck
m
o
d
el
a
s
s
h
o
w
s
in
F
ig
u
r
e
6
a
n
d
7
r
esp
ec
tiv
el
y
.
I
n
th
e
p
r
i
m
e
’
s
p
a
r
t,
th
e
n
u
m
b
er
o
f
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
f
o
r
ea
ch
in
p
u
t
is
t
h
r
ee
.
So
,
th
e
n
u
m
b
er
o
f
w
ei
g
h
ts
in
t
h
e
co
n
s
eq
u
e
n
c
e
o
u
tp
u
t
p
ar
t
is
also
th
r
ee
.
T
h
e
f
ir
s
t
i
n
p
u
t
to
F
NN
i
s
t
h
e
m
ea
s
u
r
ed
o
u
tp
u
t
lo
ad
R
L
w
h
ile
DC
i
n
p
u
t
s
u
p
p
l
y
v
o
l
tag
e
to
th
e
co
n
v
er
ter
Vi
is
t
h
e
s
ec
o
n
d
in
p
u
t to
th
e
FNN.
Fig
u
r
e
5
.
Si
m
u
li
n
k
i
m
p
le
m
e
n
t
atio
n
o
f
P
W
M
B
o
o
s
t Co
n
v
er
te
r
b
ased
o
n
FNN
co
n
tr
o
ller
Fig
u
r
e
6
.
Si
m
u
li
n
k
i
m
p
le
m
e
n
t
atio
n
o
f
FNN
co
n
tr
o
ller
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
694
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
,
Vo
l.
9
,
No
.
4
,
Dec
em
b
er
2
0
1
8
:
1657
–
1
6
6
5
1662
Fig
u
r
e
7
Si
m
u
li
n
k
i
m
p
le
m
e
n
ta
tio
n
o
f
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
s
5.
SI
M
UL
AT
I
O
N
R
E
S
UL
T
S
Fig
u
r
e
8
an
d
9
s
h
o
w
s
t
h
e
p
ar
a
m
eter
o
f
FF
N
co
n
tr
o
ller
b
ef
o
r
e
an
d
af
ter
tr
ain
in
g
.
A
s
s
h
o
w
n
i
n
t
h
es
e
f
i
g
u
r
es,
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S
[1
]
L
.
Yin
,
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t
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“
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(
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,
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.
130
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0
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0
.
[2
]
J.
D
.
Na
v
a
m
a
n
i
,
e
t
a
l
.,
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n
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u
a
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ra
ti
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DC
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DC
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st
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In
ter
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ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
I
n
v
e
n
ti
v
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S
y
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ms
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n
d
C
o
n
tr
o
l
(
ICIS
C)
,
p
p
.
1
-
5,
2
0
1
7
.
[3
]
O.
Ib
ra
h
im
a
n
d
N.
Z.
Ya
h
a
y
a
,
“
P
ID
C
o
n
tr
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ll
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r
Re
sp
o
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se
to
S
e
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P
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t
Ch
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g
e
in
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DC
Co
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o
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ter
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t
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J
o
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m (
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/
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6
.
[4
]
A
.
A
li
,
e
t
a
l.
,
“
Im
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m
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ter
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rg
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)
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.
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,
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0
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.
[5
]
M
.
Kh
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y
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,
“
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d
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p
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Co
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tro
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M
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Co
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M
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s,
”
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u
rn
a
l
o
f
Co
n
tro
l
,
Au
t
o
ma
t
io
n
a
n
d
El
e
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ms
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v
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is
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:
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)
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.
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.
[6
]
P
.
V
.
R
.
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u
m
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r
a
n
d
M
.
S
.
Ka
lav
a
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ra
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Ord
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:
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(
1
)
,
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0
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.
[7
]
M
.
Zain
u
ri,
e
t
a
l
.,
“
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v
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m
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[8
]
S
a
id
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h
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t
a
l.
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S
trate
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in
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Po
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0
1
7
.
[9
]
R.
W
a
i,
e
t
a
l.
,
“
De
si
g
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o
f
A
d
a
p
ti
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z
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ra
l
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rk
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n
tro
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f
o
r
S
in
g
le
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S
tag
e
B
o
o
st
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v
e
rter
,
”
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
n
In
d
u
stri
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l
El
e
c
tro
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ics
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v
o
l/
iss
u
e
:
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2
(9
),
p
p
.
5
4
3
4
-
5
4
4
5
,
2
0
1
5
.
[1
0
]
Bu
d
iy
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n
to
a
n
d
R
.
S
e
ti
a
b
u
d
y
,
“
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rter
De
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n
t
a
s
A
B
o
o
st
Co
n
v
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f
o
r
DC
M
icro
g
rid
,
”
T
EL
KOM
NIKA
T
e
lec
o
mm
u
n
ica
ti
o
n
Co
mp
u
ti
n
g
E
lec
tro
n
ics
a
n
d
C
o
n
tr
o
l
,
v
ol
/i
ss
u
e
:
11
(
2
)
,
2
0
1
3
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
P
o
w
E
lec
&
Dr
i
S
y
s
t
I
SS
N:
2088
-
8
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o
lta
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ck
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1665
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1
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M.
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e
rc
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l
.
,
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o
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ra
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ies
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se
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u
sin
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DC
b
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o
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v
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,
”
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1
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t
h
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ter
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ti
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g
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,
p
p
.
5
3
2
-
5
3
9
,
2
0
1
6
.
[1
2
]
M
.
K.
Ka
z
im
ierc
z
u
k
,
“
P
u
lse
-
w
id
th
M
o
d
u
late
d
DC
–
DC
P
o
w
e
r
Co
n
v
e
rters
,
”
Jo
h
n
W
il
e
y
&
S
o
n
s,
US
A
,
2008
.
[1
3
]
A
.
B.
M
u
lj
o
n
o
a
n
d
I.
M
.
G
in
a
rsa
,
“
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o
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ti
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o
f
A
d
a
p
ti
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u
ro
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u
z
z
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In
f
e
re
n
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e
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y
ste
m
(
AN
F
IS
)
a
n
d
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p
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2
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u
z
z
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m
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il
ize
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m
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it
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ter
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rn
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E
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trica
l
a
n
d
C
o
mp
u
ter
En
g
in
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e
rin
g
(
IJ
ECE
),
v
ol
/i
ss
u
e
:
8
(
1
)
,
2
0
1
8
.
[1
4
]
W
.
I.
Ha
m
e
e
d
a
n
d
K.
A
.
M
o
h
a
m
a
d
,
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tri
p
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ick
n
e
ss
Co
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tro
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z
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u
ra
l
Ne
tw
o
rk
,
”
En
g
in
e
e
rin
g
,
v
o
l
/i
ss
u
e
:
6
(
1
),
p
p
.
2
7
-
3
3
,
2
0
1
4
.
B
I
O
G
RAP
H
I
E
S
O
F
AUTH
O
RS
W
a
lee
d
Ish
a
q
Ha
m
e
e
d
M
.
S
c
in
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e
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tri
c
a
l
En
g
in
e
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rin
g
,
F
a
c
u
lt
y
o
f
En
g
in
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rin
g
,
Ba
sra
Un
iv
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rsity
in
2
0
1
3
.
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m
w
o
rk
in
g
a
tea
c
h
e
r,
S
u
p
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rv
iso
r
o
f
In
stru
m
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tatio
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a
n
d
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tro
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ry
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ra
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In
stit
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te
2
0
1
6
-
y
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t.
In
g
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n
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ra
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h
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v
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re
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f
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ield
s:
•
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rg
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ro
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in
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Io
T
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ro
g
ra
m
m
a
b
le
lo
g
ic
c
o
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tro
ll
e
r
a
n
d
M
icro
c
o
n
tro
ll
e
rs.
Ba
h
a
A
ld
e
e
n
S
a
w
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d
i
M
.
S
c
in
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e
c
tri
c
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l
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tro
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ic
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n
d
tele
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m
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M
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M
in
2
0
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.
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li
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a
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d
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B.
S
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in
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ter
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ro
m
Un
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rsity
o
f
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sra
,
Ira
q
,
in
2
0
0
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a
n
d
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M
.
S
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d
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re
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in
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ter
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tri
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l
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in
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ro
m
Ba
sra
Un
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rsity
in
2
0
1
3
.
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w
a
s
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re
se
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t
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o
ll
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g
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in
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g
,
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n
iv
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d
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2
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,
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is
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ll
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ro
m
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to
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re
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t.
His
Re
se
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tere
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ter
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rk
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g
,
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irele
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n
so
r
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rk
s,
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o
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tro
l
sy
ste
m
,
DC
m
o
to
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ro
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ti
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g
,
r
o
b
o
ti
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s,
tele
c
o
m
m
u
n
ica
ti
o
n
,
m
icro
c
o
n
tro
ll
e
r
su
c
h
a
s
A
rd
u
in
o
,
a
n
d
in
f
o
rm
a
ti
o
n
tec
h
n
o
lo
g
y
,
in
tern
e
t
o
f
th
in
g
s.
Evaluation Warning : The document was created with Spire.PDF for Python.