Nomenclature, Nomenclature -6 – National Instruments NI MATRIXx Xmath User Manual

Page 13

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Chapter 1

Introduction

Xmath Model Reduction Module

1-6

ni.com

L

2

approximation, in which the L

2

norm of impulse response error (or,

by Parseval’s theorem, the L

2

norm of the transfer-function error along

the imaginary axis) serves as the error measure

Markov parameter or impulse response matching, moment matching,
covariance matching, and combinations of these, for example,
q-COVER approximation

Controller reduction using canonical interactions, balanced Riccati
equations, and certain balanced controller reduction algorithms

Nomenclature

This manual uses standard nomenclature. The user should be familiar with
the following:

sup denotes supremum, the least upper bound.

The acute accent (´) denotes matrix transposition.

A superscripted asterisk (*) denotes matrix transposition and complex
conjugation.

λ

max

(A) for a square matrix A denotes the maximum eigenvalue,

presuming there are no complex eigenvalues.

Re

λ

i

(A) and |

λ

i

(A)| for a square matrix A denote an arbitrary real part

and an arbitrary magnitude of an eigenvalue of A.

for a transfer function X(·) denotes:

An all-pass transfer-function W(s) is one where

for all

ω;

to each pole, there corresponds a zero which is the reflection through
the j

ω-axis of the pole, and there are no jω-axis poles.

An all-pass transfer-function matrix W(s) is a square matrix where

P > 0 and P

≥ 0 for a symmetric or hermitian matrix denote positive

and nonnegative definiteness.

P

1

> P

2

and P

1

P

2

for symmetric or hermitian P

1

and P

2

denote

P

1

P

2

is positive definite and nonnegative definite.

A superscripted number sign (#) for a square matrix A denotes the
Moore-Penrose pseudo-inverse of A.

X j

ω

( )

sup

ω ∞

< <

λ

max

X

*

j

ω

( )X jω

( )

[

]

[

]

1 2

/

X j

ω

( )

1

=

W

jω

(

)W jω

( )

I

=

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