DocumentCode
834218
Title
Model reduction for linear multivariable systems
Author
Hickin, J. ; Sinha, N.K.
Author_Institution
Bell-Northern Research, Verdun, Canada
Volume
25
Issue
6
fYear
1980
fDate
12/1/1980 12:00:00 AM
Firstpage
1121
Lastpage
1127
Abstract
A method has been proposed for obtaining reduced-order models for multivariable systems. Termed nonminimal partial realization, this method is shown to encompass the methods of aggregation (or eigenvalue preservation) and moments matching (Padé-type approximation about more than one point). In particular, a promising subclass of reduced models, called aggregated partial realizations, is discussed in detail and appears to combine the good points of the aggregation as well as the moments matching methods.
Keywords
Bibliographies; Large-scale systems; Linear systems, time-invariant continuous-time; Eigenvalues and eigenfunctions; Equations; Kalman filters; Linear matrix inequalities; MIMO; Nonlinear filters; Reduced order systems; Robustness; Stability; Symmetric matrices;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1980.1102510
Filename
1102510
Link To Document