DocumentCode
856012
Title
Analysis of singular systems using orthogonal functions
Author
Lewis, F.L. ; Mertzios, B.G.
Author_Institution
Georgia Institute of Technology, Atlanta, GA, USA
Volume
32
Issue
6
fYear
1987
fDate
6/1/1987 12:00:00 AM
Firstpage
527
Lastpage
530
Abstract
The use of orthogonal functions to analyze singular systems is investigated. It is shown that the differential-algebraic system equation may be converted to an algebraic generalized Lyapunov equation that can be solved for the coefficients of
in terms of the orthogonal basis functions. This generalized Lyapunov equation may be considered as a "discrete" equation on the slow subspace of the system, and as a "continuous" equation on its fast subspace. Necessary and sufficient conditions for the existence of a unique solution are given in terms of the relative spectrum of the system. A generalized Bartels/Stewart algorithm based on the
algorithm is presented for its efficient solution. Relations are drawn with the invariant subspaces of the system.
in terms of the orthogonal basis functions. This generalized Lyapunov equation may be considered as a "discrete" equation on the slow subspace of the system, and as a "continuous" equation on its fast subspace. Necessary and sufficient conditions for the existence of a unique solution are given in terms of the relative spectrum of the system. A generalized Bartels/Stewart algorithm based on the
algorithm is presented for its efficient solution. Relations are drawn with the invariant subspaces of the system.Keywords
Linear systems; Lyapunov matrix equations; Orthogonal functions; Singularly perturbed systems, linear; Automatic control; Demography; Differential algebraic equations; Eigenvalues and eigenfunctions; IEL; Integral equations; Large-scale systems; Neural networks; Optimal control; Sufficient conditions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.1987.1104649
Filename
1104649
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