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,
lo
ad
s
h
ed
d
in
g
d
ec
is
io
n
s
ar
e
b
ased
o
n
th
e
co
m
b
in
atio
n
o
f
m
ea
s
u
r
ed
f
r
eq
u
e
n
c
y
a
n
d
v
o
ltag
e
at
r
elay
lo
ca
tio
n
s
[
3
]
.
I
n
th
ese
m
et
h
o
d
s
,
lo
ad
s
h
ed
d
in
g
is
s
e
lecte
d
as
a
f
u
n
cti
o
n
o
f
th
e
d
is
t
u
r
b
an
ce
lo
ca
tio
n
,
eith
er
d
ir
ec
tl
y
o
r
in
d
ir
ec
tl
y
.
Si
n
ce
th
e
lo
ad
s
h
ed
d
in
g
d
ec
is
io
n
is
m
ad
e
lo
ca
ll
y
b
ased
o
n
lo
ca
l
m
ea
s
u
r
ed
q
u
an
titi
e
s
,
n
o
co
m
m
u
n
icatio
n
l
in
k
is
r
eq
u
ir
ed
f
o
r
i
m
p
le
m
e
n
ti
n
g
th
e
s
e
m
et
h
o
d
s
.
I
t sh
o
u
ld
b
e
n
o
ted
th
at
t
h
i
s
p
ap
er
’
s
o
b
j
ec
ti
v
e
is
n
o
t
f
o
cu
s
ed
o
n
s
elec
t
in
g
t
h
e
m
o
s
t
ec
o
n
o
m
ical
lo
ca
tio
n
f
o
r
lo
ad
s
h
ed
d
in
g
a
m
o
u
n
ts
.
T
h
e
o
b
j
ec
tiv
e
is
to
r
escu
e
t
h
e
s
y
s
te
m
d
u
r
in
g
s
ev
er
e
co
m
b
in
atio
n
al
e
v
e
n
ts
.
A
p
o
w
er
s
y
s
te
m
ca
n
e
x
p
er
ien
ce
b
lack
o
u
t
f
o
r
v
ar
io
u
s
r
ea
s
o
n
s
s
u
c
h
as
f
r
eq
u
e
n
c
y
i
n
s
t
ab
ilit
y
,
v
o
lta
g
e
in
s
tab
ilit
y
[
4
]
.
T
h
e
FA
C
T
S
d
ev
ice
p
er
f
o
r
m
a
n
ce
d
ep
en
d
s
u
p
o
n
its
lo
ca
tio
n
an
d
p
ar
a
m
eter
s
et
tin
g
.
T
h
e
p
o
w
er
elec
tr
o
n
ic
b
ased
f
le
x
ib
le
AC
tr
a
n
s
m
i
s
s
io
n
s
y
s
te
m
s
i
n
tr
o
d
u
ce
d
in
1
9
8
0
’
s
,
p
r
o
v
id
ed
a
h
ig
h
l
y
e
f
f
ic
ien
t
a
n
d
ec
o
n
o
m
ical
m
ea
n
s
to
co
n
tr
o
l
th
e
p
o
w
er
tr
a
n
s
f
er
i
n
in
ter
co
n
n
ec
ted
A
C
tr
an
s
m
is
s
io
n
s
y
s
te
m
s
.
A
F
A
C
T
S
d
ev
ice
in
a
p
o
w
er
s
y
s
te
m
i
m
p
r
o
v
es
v
o
ltag
e
s
tab
ilit
y
,
r
ed
u
ce
s
th
e
p
o
w
er
lo
s
s
es
a
n
d
also
i
m
p
r
o
v
es
th
e
s
ec
u
r
it
y
o
f
t
h
e
s
y
s
te
m
[
5
]
.
Fl
ex
ib
le
AC
tr
an
s
m
is
s
io
n
s
y
s
te
m
i
s
ak
in
to
h
i
g
h
v
o
ltag
e
d
c
an
d
r
elate
d
th
y
r
is
to
r
s
d
ev
elo
p
ed
d
esig
n
ed
to
o
v
er
co
m
e
t
h
e
li
m
itatio
n
s
o
f
th
e
p
r
esen
t
m
ec
h
a
n
icall
y
co
n
tr
o
lled
ac
p
o
w
er
tr
an
s
m
is
s
i
o
n
s
y
s
te
m
.
T
h
e
SVC
is
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
F
AC
T
d
ev
ices
w
h
ic
h
is
s
h
u
n
t
co
n
n
ec
ted
p
r
o
v
id
in
g
s
i
m
u
ltan
eo
u
s
co
n
tr
o
l
o
f
v
o
ltag
e
m
a
g
n
i
tu
d
e
an
d
r
ea
ctiv
e
p
o
w
e
r
f
lo
w
s
.
StaticVar
C
o
m
p
e
n
s
ato
r
(
SV
C
)
T
h
e
SVC
u
s
e
s
co
n
v
e
n
tio
n
al
t
h
y
r
is
to
r
s
to
ac
h
i
ev
e
f
a
s
t c
o
n
tr
o
l o
f
s
h
u
n
t
-
co
n
n
ec
ted
ca
p
ac
ito
r
s
an
d
r
ea
cto
r
s
.
Am
o
n
g
t
h
e
F
AC
T
S
d
ev
ices,
th
e
Static
V
AR
co
m
p
en
s
ato
r
is
a
v
er
s
atile
d
ev
ice
th
at
co
n
tr
o
ls
th
e
r
ea
cti
v
e
p
o
w
er
in
j
ec
tio
n
at
a
b
u
s
u
s
i
n
g
p
o
w
er
elec
tr
o
n
ic
s
w
itc
h
in
g
co
m
p
o
n
e
n
ts
[
6
]
.
T
h
e
r
ea
ctiv
e
s
o
u
r
ce
is
u
s
u
all
y
a
co
m
b
in
atio
n
o
f
r
ea
cto
r
s
an
d
ca
p
ac
ito
r
s
.
SVC
s
tate
v
ar
iab
les
ar
e
co
m
b
i
n
ed
w
i
th
t
h
e
n
o
d
al
v
o
lta
g
e
m
a
g
n
it
u
d
es
an
d
an
g
les
o
f
t
h
e
n
et
w
o
r
k
i
n
a
s
i
n
g
le
f
r
a
m
e
o
f
r
ef
er
en
ce
f
o
r
u
n
i
f
ied
,
iter
ati
v
e
s
o
lu
tio
n
s
u
s
i
n
g
t
h
e
Ne
w
to
n
-
R
ap
h
s
o
n
m
et
h
o
d
[
7
]
.
I
n
th
i
s
p
ap
er
Vo
ltag
e
C
o
llap
s
e
P
r
o
x
im
it
y
I
n
d
icato
r
h
as
b
ee
n
u
s
ed
to
id
en
ti
f
y
th
e
b
e
s
t
lo
ca
tio
n
f
o
r
lo
ad
s
h
ed
d
in
g
.
SV
C
i
n
co
r
p
o
r
ated
in
Ne
w
to
n
R
ap
h
s
o
n
P
o
w
er
f
lo
w
to
o
b
s
er
v
e
t
h
e
i
m
p
ac
t
o
f
S
VC
o
n
lo
ad
s
h
ed
d
in
g
.
Am
o
u
n
t
o
f
lo
ad
to
s
h
ed
a
t
a
p
ar
tic
u
lar
lo
ca
tio
n
is
b
ased
o
n
f
i
x
ed
s
tep
s
ize
m
et
h
o
d
.
T
h
is
p
ap
er
p
r
o
p
o
s
es a
n
e
w
u
s
e
o
f
SV
C
to
r
ed
u
ce
lo
ad
s
h
ed
d
in
g
.
I
E
E
E
1
4
b
u
s
s
y
s
te
m
r
es
u
lt
s
ar
e
p
r
esen
ted
an
d
an
al
y
ze
d
.
2.
VO
L
T
A
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CO
L
L
AP
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P
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XIM
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ND
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Her
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er
ato
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ctiv
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ticu
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et
h
o
d
.
I
t
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ca
lled
v
o
ltag
e
co
llap
s
e
p
r
o
x
i
m
it
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d
ic
ato
r
(
V
C
P
I
)
.
T
h
e
v
o
lta
g
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llap
s
e
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r
o
x
i
m
it
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n
d
icat
o
r
f
o
r
ea
ch
lo
ad
b
u
s
,
co
n
s
id
er
in
g
r
ea
ctiv
e
p
o
w
er
o
n
l
y
,
is
:
i
g
Pi
P
/
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Q
(
V
C
P
I
(
1
)
W
h
er
e
∆Q
g
is
t
h
e
ch
a
n
g
e
in
r
e
ac
tiv
e
p
o
w
er
o
u
tp
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t a
t g
e
n
er
at
o
r
s
f
o
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ch
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r
ea
l lo
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at
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u
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i.
T
h
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b
u
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w
it
h
t
h
e
h
ig
h
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e
o
f
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C
P
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Pi
is
t
h
e
m
o
s
t
s
u
i
ta
b
le
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ca
tio
n
f
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r
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o
ad
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.
I
n
t
h
is
s
tu
d
y
1
0
%
o
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r
ea
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ed
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r
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.
T
h
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le
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in
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icate
s
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ca
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b
u
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m
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its
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ex
f
o
r
I
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1
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b
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m
.
Fro
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t
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tab
le
it
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s
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b
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1
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h
a
s
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co
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to
all
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is
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14
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3
.
5
3
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3
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.
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0
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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IJ
A
P
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Vo
l.
3
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No
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2
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2
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4
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3.
ST
A
T
I
C
V
AR
CO
M
P
E
NSAT
O
R
Static
V
AR
C
o
m
p
e
n
s
a
to
r
(
SVC
)
is
a
s
h
u
n
t
co
n
n
ec
ted
F
AC
T
S
co
n
tr
o
ller
u
s
ed
to
r
eg
u
late
t
h
e
v
o
lta
g
e
at
a
g
i
v
e
n
b
u
s
b
y
m
o
d
u
lati
n
g
i
ts
eq
u
i
v
ale
n
t
r
ea
ctan
ce
.
SV
C
n
o
r
m
all
y
i
n
cl
u
d
es
a
co
m
b
i
n
ati
o
n
o
f
m
ec
h
a
n
ical
l
y
co
n
tr
o
lled
an
d
t
h
y
r
i
s
to
r
co
n
tr
o
lled
s
h
u
n
t
ca
p
ac
ito
r
s
a
n
d
r
ea
cto
r
s
.
T
h
e
m
o
s
t
p
o
p
u
lar
co
n
f
ig
u
r
atio
n
f
o
r
co
n
tin
u
o
u
s
l
y
co
n
tr
o
lled
SVC
is
t
h
e
co
m
b
i
n
atio
n
o
f
f
ix
ed
ca
p
ac
ito
r
an
d
th
y
r
is
to
r
co
n
tr
o
lled
r
ea
cto
r
.
T
h
e
SV
C
is
tak
e
n
to
b
e
a
co
n
tin
u
o
u
s
,
v
ar
iab
le
s
u
s
ce
p
ta
n
ce
,
w
h
ic
h
i
s
ad
j
u
s
ted
in
o
r
d
er
to
ac
h
iev
e
a
s
p
ec
if
ie
d
v
o
lta
g
e
m
ag
n
it
u
d
e
w
h
ile
s
atis
f
y
i
n
g
co
n
s
tr
ain
t
co
n
d
itio
n
s
.
SV
C
t
o
tal
s
u
s
ce
p
tan
ce
m
o
d
el
r
ep
r
esen
t
s
a
c
h
an
g
i
n
g
s
u
s
ce
p
tan
ce
[
8
,
9
]
.
T
h
e
SVC
(
Static
Var
C
o
m
p
e
n
s
ato
r
)
m
a
y
h
a
v
e
in
d
u
c
tiv
e
o
r
ca
p
ac
itiv
e,
r
esp
ec
tiv
el
y
to
ab
s
o
r
b
o
r
p
r
o
v
id
e
r
ea
ctiv
e
p
o
w
er
.
I
t
m
a
y
ta
k
e
v
al
u
es
c
h
ar
ac
ter
ized
b
y
t
h
e
r
ea
ctiv
e
p
o
wer
Q
sv
c
i
n
j
ec
ted
o
r
ab
s
o
r
b
ed
at
th
e
v
o
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IJ
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1
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I
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T
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1
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s
y
s
te
m
ca
n
r
ed
u
ce
th
e
r
ea
l
p
o
w
er
lo
s
s
es,i
m
p
r
o
v
es
th
e
v
o
ltag
e
p
r
o
f
ile
s
an
d
en
h
a
n
ce
s
th
e
s
y
s
te
m
s
tab
ilit
y
.
RE
F
E
R
E
NC
E
S
[1
]
Y.
W
a
n
g
,
I.
R.
P
o
r
d
a
n
jan
i
W
.
L
i,
W
.
X
u
,
E.
V
a
a
h
e
d
i,
”
S
trate
g
y
to
m
in
im
is
e
th
e
lo
a
d
sh
e
d
d
in
g
a
m
o
u
n
t
f
o
r
v
o
lt
a
g
e
c
o
ll
a
p
se
p
re
v
e
n
ti
o
n
”
,
IET
G
e
n
e
r.
T
ra
n
s
m
.
Distrib
.
,
2
0
1
1
,
Vo
l.
5
,
Iss
3
,
3
0
7
-
3
1
3
.
[2
]
Hrid
y
a
P
ra
d
e
e
p
,
N.
V
e
n
u
g
o
p
a
lan
“
A
S
tu
d
y
o
f
V
o
lt
a
g
e
Co
ll
a
p
se
D
e
tec
ti
o
n
f
o
r
P
o
w
e
r
S
y
ste
m
”
,
(IS
S
N
2
2
5
0
-
2
4
5
9
,
IS
O 9
0
0
1
:2
0
0
8
Ce
rti
f
ied
Jo
u
r
n
a
l,
V
o
l
u
m
e
3
,
Iss
u
e
1
,
Ja
n
u
a
ry
2
0
1
3
)
.
[3
]
T
a
y
lo
r,
C.
W
.
,
"
Co
n
c
e
p
ts
o
f
Un
d
e
rv
o
lt
a
g
e
L
o
a
d
S
h
e
d
d
i
n
g
f
o
r
Vo
lt
a
g
e
S
tab
il
it
y
"
IEE
E
T
ra
n
sa
c
ti
o
n
s o
n
P
o
w
e
r
De
li
v
e
r
y
,
V
o
lt
7
,
No
2
,
A
p
ril
1
9
9
2
.
[4
]
J.
Ju
n
g
,
C.
C.
L
iu
,
S
.
L
.
T
a
n
im
o
to
,
a
n
d
V.
V
it
tal,
“
A
d
a
p
tatio
n
i
n
l
o
a
d
sh
e
d
d
in
g
u
n
d
e
r
v
u
ln
e
ra
b
le
o
p
e
r
a
ti
n
g
c
o
n
d
i
ti
o
n
s,”
IEE
E
T
ra
n
s.
P
o
we
rS
y
st.
,
v
o
l.
1
7
,
n
o
.
4
,
p
p
.
1
1
9
9
–
1
2
0
5
,
No
v
.
2
0
0
2
.
[5
]
K.
P
a
lan
isw
a
m
y
,
J.
S
h
a
r
m
a
,
a
n
d
K.
M
isra
,
“
Op
ti
m
u
m
lo
a
d
-
sh
e
d
d
i
n
g
tak
in
g
in
to
a
c
c
o
u
n
t
o
f
v
o
lt
a
g
e
a
n
d
f
re
q
u
e
n
c
y
c
h
a
ra
c
teristics
o
f
lo
a
d
s,”
IEE
E
T
r
a
n
s.
P
o
we
r A
p
p
.
S
y
st.
,
v
o
l
.
P
A
S
-
1
0
4
,
n
o
.
6
,
p
p
.
1
3
4
2
–
1
3
4
8
,
Ju
n
1
9
8
5
.
[6
]
E.
D.
T
u
g
li
e
,
M
.
Dic
o
ra
to
,
M
.
L
.
S
c
a
la,
a
n
d
P
.
S
c
a
rp
e
ll
i
n
i,
“
A
c
o
rre
c
ti
v
e
c
o
n
tro
l
f
o
r
a
n
g
le an
d
v
o
l
ta
g
e
sta
b
il
it
y
e
n
h
a
n
c
e
m
e
n
t
o
n
t
h
e
tran
sie
n
t
ti
m
e
sc
a
le,”
IEE
E
T
ra
n
s.
P
o
we
r S
y
st
.
,
v
o
l.
1
5
,
n
o
.
4
,
p
p
.
1
3
4
5
–
1
3
5
3
,
No
v
.
2
0
0
0
.
[7
]
D.
Xu
a
n
d
A
.
G
irg
is,
“
Op
ti
m
a
l
lo
a
d
sh
e
d
d
in
g
stra
teg
y
in
p
o
w
e
r
s
y
s
tem
s
w
it
h
d
istri
b
u
te
d
g
e
n
e
ra
ti
o
n
,
”
in
Pr
o
c
.
IEE
E
P
o
we
r E
n
g
.
S
o
c
.
W
i
n
ter
M
e
e
ti
n
g
,
v
o
l.
2
,
C
o
lu
m
b
u
s,
OH
,
Ja
n
.
2
0
0
1
.
[8
]
N.
G
.
Hin
g
o
ra
n
i
a
n
d
L
.
G
y
u
g
y
i,
“
Un
d
e
rsta
n
d
i
n
g
F
A
CT
S
:
Co
n
c
e
p
ts
a
n
d
T
e
c
h
n
o
lo
g
y
o
f
F
lex
ib
le
AC
T
ra
n
s
m
issio
n
S
y
st
e
m
”
,
IEE
E
P
re
ss
,
2
0
0
0
.
IEE
E/
CIGRÉ
,
“
F
A
CT
S
Ov
e
r
v
ie
w
”
,
c
a
talo
g
u
e
n
u
m
b
e
r
9
5
T
P
1
0
8
,
1
9
9
5
.
[9
]
Y.H.
S
o
n
g
a
n
d
A
.
T
.
Jo
h
n
s,
e
d
s,
F
lex
ib
le
A
C
T
r
a
n
s
m
issio
n
S
y
st
e
m
s
(F
A
C
T
S
),
IEE
P
re
ss
,
U.K.,
1
9
9
9
A
c
h
a
E.
,
F
u
e
rte
-
Esq
u
iv
e
l
C,
Am
b
riz
-
P
e
re
z
H
a
n
d
A
n
g
e
les
C.
,
“
F
A
C
T
S
:
M
o
d
e
ll
i
n
g
a
n
d
S
im
u
latio
n
in
P
o
w
e
r
Ne
t
w
o
rk
s”
.
Jo
h
n
W
il
e
y
&
S
o
n
s,
2
0
0
4
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
A
P
E
I
SS
N:
2252
-
8792
I
n
flu
en
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f
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129
[1
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]
F
A
C
T
S
M
o
d
e
ll
i
n
g
a
n
d
S
im
u
latio
n
in
P
o
w
e
r
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tw
o
rk
s
(Bo
o
k
)
b
y
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riq
u
e
A
c
h
a
,
Clau
d
i
o
R.
F
u
e
rte
-
Esq
u
iv
e
l,
Hu
g
o
Am
b
riz
-
P
e
re
z
,
Ce
sa
r
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n
g
e
les
-
C
a
m
a
c
h
o
.
B
I
O
G
RAP
H
I
E
S O
F
AUTH
O
RS
Re
sh
m
a
Ra
ja
n
wa
s
b
o
rn
in
T
h
rissu
r,
In
d
ia
in
1
9
9
0
.
S
h
e
re
c
e
iv
e
d
h
e
r
Ba
c
h
e
lo
r’s
d
e
g
re
e
in
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e
c
tri
c
a
l
a
n
d
E
lec
tro
n
ics
En
g
in
e
e
rin
g
f
ro
m
A
v
a
n
th
i
In
st
it
u
te
Of
En
g
in
e
e
rin
g
A
n
d
T
e
c
h
n
o
lo
g
y
,
V
izia
n
a
g
ra
m
in
2
0
1
2
.
S
h
e
is
p
u
rs
u
in
g
h
e
r
M
a
ste
r’s
De
g
re
e
e
in
P
o
w
e
r
S
y
ste
m
s
A
n
d
A
u
to
m
a
ti
o
n
a
t
G
I
TA
M
Un
iv
e
rsit
y
.
B
.
V
e
n
k
a
te
sw
a
r
a
r
a
o
wa
s
b
o
rn
in
Ra
m
a
b
h
a
d
ra
p
u
ra
m
,
In
d
ia
in
1
9
7
8
.
He
re
c
e
iv
e
d
h
is
Ba
c
h
e
lo
r
d
e
g
re
e
in
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ics
En
g
in
e
e
rin
g
f
ro
m
Co
ll
e
g
e
o
f
En
g
in
e
e
rin
g
,
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a
n
d
h
i
I
n
stit
u
te
o
f
T
e
c
h
n
o
l
o
g
y
A
n
d
M
a
n
a
g
e
m
e
n
t
(G
ITA
M
),
V
isa
k
h
a
p
a
tn
a
m
,
In
d
ia
i
n
2
0
0
0
,
a
n
d
th
e
M
a
ste
r
d
e
g
re
e
in
El
e
c
tri
c
a
l
P
o
w
e
r
En
g
in
e
e
ri
n
g
f
ro
m
th
e
Co
ll
e
g
e
o
f
En
g
in
e
e
rin
g
,
JN
T
U,
a
n
d
H
y
d
e
ra
b
a
d
in
2
0
0
7
.
He
is
p
re
se
n
tl
y
w
o
r
k
in
g
a
s
As
sista
n
t
P
ro
f
e
ss
o
r
in
th
e
De
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ics
En
g
in
e
e
rin
g
,
G
ITA
M
Un
iv
e
rsit
y
,
V
isa
k
h
a
p
a
tn
a
m
a
n
d
h
e
is
p
u
rsu
i
n
g
P
h
.
Df
ro
m
Ja
w
a
h
a
rlal
Ne
h
ru
T
e
c
h
n
o
l
o
g
ica
l
Un
iv
e
rsit
y
,
H
y
d
e
ra
b
a
d
.
His
re
se
a
rc
h
in
tere
sts
a
re
P
o
w
e
r
s
y
ste
m
sta
b
il
it
y
a
n
a
l
y
sis,
F
ACT
S
d
e
v
ic
e
s,
P
o
w
e
r
s
y
ste
m
c
o
n
tro
l.
He
h
a
s
p
u
b
l
ish
e
d
se
v
e
ra
l
re
se
a
rc
h
p
a
p
e
rs i
n
n
a
ti
o
n
a
l
a
n
d
i
n
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
s.
Dr
.
G
.
V
.
N
a
g
e
sh
K
u
m
a
r
w
a
s
b
o
rn
in
V
i
sa
k
h
a
p
a
tn
a
m
,
In
d
ia
in
1
9
7
7
.
He
g
ra
d
u
a
ted
Co
ll
e
g
e
o
f
En
g
in
e
e
rin
g
,
G
a
n
d
h
i
In
sti
tu
te
o
f
T
e
c
h
n
o
lo
g
y
a
n
d
M
a
n
a
g
e
m
e
n
t,
Visa
k
h
a
p
a
tn
a
m
,
In
d
ia
in
2
0
0
0
,
M
a
ste
rs
De
g
re
e
f
ro
m
th
e
Co
ll
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e
o
f
En
g
in
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g
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A
n
d
h
ra
Un
iv
e
rsity
,
V
isa
k
h
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p
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tn
a
m
,
in
2
0
0
2
.
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re
c
e
iv
e
d
h
is
D
o
c
to
ra
l
d
e
g
re
e
fro
m
Ja
w
a
h
a
rlal
Ne
h
ru
T
e
c
h
n
o
lo
g
ica
l
Un
iv
e
rsity
,
H
y
d
e
r
a
b
a
d
in
2
0
0
8
.
He
is
p
re
se
n
tl
y
w
o
rk
in
g
a
s
A
ss
o
c
iate
P
ro
f
e
ss
o
r
in
th
e
De
p
a
rtme
n
t
o
f
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ics
En
g
in
e
e
rin
g
,
G
ITA
M
Un
iv
e
rsit
y
,
V
isa
k
h
a
p
a
tn
a
m
.
His
re
se
a
rc
h
in
tere
sts
in
c
lu
d
e
g
a
s
in
su
late
d
s
u
b
sta
ti
o
n
s,
F
A
CT
S
d
e
v
ice
s,
P
o
w
e
r
S
y
ste
m
S
tab
il
it
y
a
n
a
l
y
sis,
f
u
z
z
y
lo
g
ic
a
n
d
n
e
u
ra
l
n
e
tw
o
rk
a
p
p
li
c
a
ti
o
n
s,
d
istri
b
u
ted
g
e
n
e
ra
ti
o
n
,
P
a
rti
a
l
Disc
h
a
rg
e
S
t
u
d
ies
a
n
d
Be
a
rin
g
les
s
d
riv
e
s.
He
h
a
s
p
u
b
li
sh
e
d
9
2
re
se
a
rc
h
p
a
p
e
rs
in
n
a
ti
o
n
a
l
a
n
d
in
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
s
a
n
d
jo
u
r
n
a
ls.
He
re
c
e
iv
e
d
“
S
a
str
a
Aw
a
rd
”
,
“
Be
st
P
a
p
e
r
A
w
a
rd
”
a
n
d
“
Be
st
Re
s
e
a
r
c
h
e
r
Aw
a
rd
”
.
He
is
a
m
e
m
b
e
r
o
f
v
a
rio
u
s
so
c
ieties
,
IS
T
E,
IEE
E,
IE
a
n
d
S
y
ste
m
S
o
c
iet
y
o
f
In
d
ia.
He
is
a
lso
a
re
v
i
e
w
e
r
f
o
r
IEE
E
T
ra
n
sa
c
ti
o
n
s
o
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