
Chapter 4 Frequency-Weighted Error Reduction
© National Instruments Corporation 4-3 Xmath Model Reduction Module
is minimized (and of course is less than 1). Notice that these two error 
measures are like those of Equation4- 1 and Equation 4-2. The fact that the 
plant ought to show up in a good formulation of a controller reduction 
problem is evidenced by the appearance of P in the two weights. 
It is instructive to consider the shape of the weighting matrix or function 
P(
Ι
+CP)–1. Consider the scalar plant case. In the pass band, |PC| is likely 
to be large, and if this is achieved by having |C| large, then |P(
Ι
+CP)–1| 
will be (approximately) small. Also outside the plant bandwidth, 
|P(
Ι
+CP)–1| will be small. This means that it will be most likely to take its 
biggest values at frequencies near the unity gain cross-over frequency. This 
means that the approximation Cr is being forced to be more accurate near 
this frequency than well away from it—a fact very much in accord with 
classical control, where one learns the importance of good loop shaping 
round this frequency.
The above measures EIS and EOS are advanced after a consideration of 
stability, and the need for its preservation in approximating C by Cr. If one 
takes the viewpoint that the important thing to preserve is the closed-loop 
transfer function matrix, a different error measure arises. With T, Tr 
denoting the closed-loop transfer function matrices,
Then, to a first order approximation in C– Cr, there holds
The natural error measure is then
(4-4)
and this error measure parallels E3 in Equation 4-3. Further refinement 
again is possible. It may well be that closed-loop transfer function matrices 
should be better matched at some frequencies than others; if this weighting 
on the error in the closed-loop transfer function matrices is determined by 
the input spectrum  , then one really wants (T–Tr)V to be small, 
so that Equation 4-4 is replaced by
TT
r
–PC I PC+()PCrIPC
r
+()
1–
–=
TT
r
–IPC+()
1–PC C
r
–()IPC+()
1–
≈
EMIPC+()
1–PC C
r
–()IPC+()
1–
∞
=
VV*Φ=
EMS IPC+()
1–PC C
r
–()IPC+()
1–V∞
=