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CAREER POINT UNIVERSITY
MAJOR ASSIGNMENT
ON
CONTROLABILITY AND OBSERVABILITY
SUBMITTED TO
MR. SOMESH CHATURVEDY
SUBMITTED BY
Deepak Nagar
KID-K10880
B.Tech. (M.E.)
6th
Semester
Motivation1
[ ] 





=






+











−
−
=





2
1
2
1
2
1
01
)(
0
1
10
12
x
x
y
tu
x
x
x
x


1−
s 1−
s 1
1− 2−
u y1x2x
s
x )0(2
s
x )0(1
1 1x2x
1
controllable
uncontrollable
Motivation2
[ ] 





=






+











−
−
=





2
1
2
1
2
1
01
)(
1
3
10
02
x
x
y
tu
x
x
x
x


1−
s 1−
s 1
1− 2−
u y1x2x
s
x )0(2
s
x )0(1
1 1x2x
3
observable
unobservable
Definition
A linear system is said to be completely controllable if, for all
initial times and all initial states , there exists some input
function (or sequence for discrete systems) that drives the state
vector to any final state at some finite time .
0t )( 0tx
)( 1tx 10 tt <
A linear system is said to be completely observable if, for all
initial times , the state vector can be determined from the
output function (or sequence) , defined over a finite time
.
Definition
0t )( 0tx
)( 1ty
10 tt <
Proof of controllability matrix
[ ]














=−
++++=−
+++++=
++=++=
+=
+=
−+
−+
−
+
−+−++
−−
+
−+−++
−−
+
+++
+++
+
)1(
)2(
1
)1()2(1
21
)1()2(1
21
1
2
12
112
1
)(
nk
nk
k
n
k
n
nk
nknkk
n
k
n
k
n
nk
nknkk
n
k
n
k
n
nk
kkkkkkk
kkk
kkk
u
u
u
BABBAxAx
BuABuBuABuAxAx
BuABuBuABuAxAx
BuABuxABuBuAxAx
BuAxx
BuAxx




Initial condition
Proof of observability matrix
( )
[ ])1()2()3(11
1
)1()2(1
321
1
111
111
1
)(),2(),1(
)(
)2()(
)1(
−+−+−+++
−
−+−++
−−−
−+
+++
+++
+
−−−−−=












⇒
+++++=
++=++=
+=
+=
+=
nknknkkkkkk
k
n
nknkk
n
k
n
k
n
nk
kkkkkkk
kkk
kkk
kkk
DuCBuCABuDuCBuyDuy
x
CA
CA
C
n
nDuCBuBuCABuCAxCAy
DuCBuCAxDuBuAxCy
DuCxy
DuCxy
BuAxx






Inputs & outputs
)()()(
)()()(
tDutCxty
tButAxtx
+=
+=
[ ]














=
=
−
−
1
2
12
n
n
CA
CA
CA
C
V
BABAABBU

Controllability matrix
Observability matrix
Then: (1) controllable
(2) observable nVrank
nUrank
=
=
)(
)(
[ ] 





=






+











−
−
=





2
1
2
1
2
1
01
)(
0
1
10
12
x
x
y
tu
x
x
x
x


Example 1
2][
12
01
1][
00
21
][
=





−
=





=
=




 −
==
Vrank
CA
C
V
UrankABBU uncontrollable
observable
The rank of a matrix is defined by the number of
linearly independent rows and/or the number of
linearly independent columns
Example 2
[ ] 





=






+











−
−
=





2
1
2
1
2
1
01
)(
1
3
10
02
x
x
y
tu
x
x
x
x


1][
02
01
2][
11
63
][
=





−
=





=
=





−
−
==
Vrank
CA
C
V
UrankABBU controllable
unobservable
Theorem III
)()()( tuBtxAtx cccc +=
Controllable canonical form Controllable
Theorem IV
)()(
)()()(
txCty
tuBtxAtx
oo
oooo
=
+=
Observable canonical form Observable
example
[ ] c
cc
xy
uxx
12
1
0
32
10
=






+





−−
=
Controllable canonical form
[ ]






−−
=





=






−
==
12
12
31
10
CA
C
V
ABBU
nVrank
nUrank
≠=
==
1][
2][
[ ] o
oo
xy
uxx
10
1
2
31
20
=






+





−
−
=
Observable canonical form
[ ]






−
=





=






−
−
==
31
10
11
22
CA
C
V
ABBU
nVrank
nUrank
==
≠=
2][
1][
)2)(1(
2
)(
++
+
=
ss
s
sT
Theorem V
)()()(
)()()(
tDutCxty
tButJxtx
+=
+=
Jordan form
[ ]321
3
2
1
3
2
1
CCCC
B
B
B
B
J
J
J
J
=










=










=
Jordan block
Least row
has no zero
row
First column has no zero column
Example
[ ]xccy
ub
b
xx
3
1100
020
012
1211
12
11
=










+










=
If 012 =b uncontrollable
If 011 =c unobservable
xy
uxx










=




























+




















=
2
1
0
203
102
200
201
101
211
100
010
211
100
010
001
000
1
1
1
2
2
2
1
1
1
1
λ
λ
λ
λ
λ
λ
λ

11b
12b
13b
21b
11C 12C 13C 21C
{ } { }
{ } { } ....
....
21131211
21131211
ILCILCCC
ILbILbbb
+
+ controllable
observable
In the previous example
{ } { }
{ } { } ....
....
21131211
21131211
DLCILCCC
ILbILbbb
+
+ controllable
unobservable









 −
=




















−
+




















=
0
0
1
001
002
113
111
111
122
0
1
0
0
1
1
001
123
111
112
112
1
1
11
2
2
2
12
y
uxx
L.I.
L.I.
L.I. L.D.
Example
Control and Observability Analysis of Linear Systems

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