Imaginary axis zeros (including zeros at ∞), Imaginary axis zeros (including zeros at – National Instruments NI MATRIXx Xmath User Manual

Page 67

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Chapter 3

Multiplicative Error Reduction

© National Instruments Corporation

3-21

Xmath Model Reduction Module

For

mulhank( )

, this translates for a scalar system into

and

The bounds are double for

bst( )

.

The error as a function of frequency is always zero at

ω = ∞ for

bst( )

(or at

ω = 0 if a transformation ss

–1

is used), whereas no such particular

property of the error holds for

mulhank( )

.

Imaginary Axis Zeros (Including Zeros at

)

When G(j

ω) is singular (or zero) on the jω axis or at ∞, reduction can be

handled in the same manner as explained for

bst( )

.

The key is to use a bilinear transformation [Saf87]. Consider the bilinear
map defined by

where 0 < a < b

–1

and mapping G(s) into

through

86.9

v

i

dB 20log

10

<

Gˆ

nsr

G

i

nsr 1

+

=

ns

8.69

v

i

i

nsr 1

+

=

ns

<

dB

phase error

v

i

radians

i

nsr 1

+

=

ns

<

s

z a

bz

1

+

-------------------

=

z

s a

+

bs 1

+

---------------

=

G˜ s

( )

G˜ s

( )

G

s a

bs

1

+

-------------------

=

G s

( )

G˜

s a

+

bs 1

+

---------------

=

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