Digital Signal Processing Reference
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respectively. Substituting Eqs. (6) into Eq. (5), the L 2 -sensitivity can be rewritten as
H ( z )
2
2
H ( z )
2
2
H ( z )
2
2
S ( A , B , C )=
+
+
A
B
C
2
2
2
G T ( z ) F T ( z )
G T ( z )
F T ( z )
=
2 +
2 +
2 .
(9)
We can express the L 2 -sensitivity S ( A , B , C ) by using complex integral as [1]
I
1
2 π j
|z|=1 F ( z ) G ( z )( F ( z ) G ( z )) dz
S ( A , B , C )= tr
z
I
I
1
2 π j
| z |= 1 G (z) G (z) dz
1
2 π j
| z |= 1 F (z) F (z) dz
+tr
+ tr
.
(10)
z
z
Applying Parseval's relation to Eq. (10), Hinamoto et al. expressed the L 2 -sensitivity in terms
of the general Gramians such as [2]
i=1 tr( W i )tr( K i ).
S( A , B , C ) = tr( W 0 )tr( K 0 ) + tr( W 0 ) + tr( K 0 ) + 2
(11)
The general controllability Gramian K i and the general observability Gramian W i in Eq. (11)
are defined as the solutions to the following Lyapunov equations:
K i = AK i A T + 1
2
A i BB T + BB T ( A T ) i
(12)
W i = A T W i A + 1
2
C T CA i + ( A T ) i C T C
(13)
for i = 0, 1, 2, · · · , respectively. The general controllability and observability Gramians are
natural expansions of the controllability and observability Gramians, respectively. Letting
i = 0 in Eqs. (12) and (13), we have the Lyapunov equations for the controllability Gramian
K 0 and the observability Gramian W 0 as follows:
K 0 = AK 0 A T + BB T
(14)
W 0 = A T W 0 A + C T C .
(15)
The controllability Gramian K 0 and the observability Gramian W 0 are positive definite
symmetric, and the eigenvalues θ i ( i = 1, · · · , N ) of the matrix product K 0 W 0 are all positive.
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