DocumentCode
1396130
Title
Fractional balanced reduction: model reduction via fractional representation
Author
Meyer, David G.
Author_Institution
Courant Inst. of Math. Sci., New York, NY, USA
Volume
35
Issue
12
fYear
1990
fDate
12/1/1990 12:00:00 AM
Firstpage
1341
Lastpage
1345
Abstract
A method for the model reduction of finite-dimensional, linear, time-invariant (FDLTI) plants is proposed which uses normalized fractional representations is proposed. The method, dubbed fractional balanced reduction, applies balance and truncate to a special representation of the graph operator of the plant. This operation yields the graph operator of a reduced order plant. The method has such properties as existence of an a priori error bound in the graph metric and preservation of sector containment. Coupling fractional representations with principal component analysis gives a model reduction method that is capable of producing, in a numerically stable way, a good reduced order model using the whole full order model. Sector properties are also preserved-these are useful for deciding stability when nonlinearities are in the loop
Keywords
graph theory; identification; linear systems; stability; state-space methods; finite dimensional time invariant systems; fractional representation; graph metric; graph operator; linear systems; model reduction; nonlinearities; principal component analysis; reduced order plant; stability; 1f noise; Additive white noise; Linear systems; Principal component analysis; Reduced order systems; Signal processing; Speech processing; State-space methods; Stochastic processes;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.61011
Filename
61011
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