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 :
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