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Spectral factorization of non-symmetric polynomial matrices

โœ Scribed by Jovan Stefanovski


Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
275 KB
Volume
412
Category
Article
ISSN
0024-3795

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โœฆ Synopsis


The topic of the paper is spectral factorization of rectangular and possibly non-full-rank polynomial matrices. To each polynomial matrix we associate a matrix pencil by direct assignment of the coefficients. The associated matrix pencil has its finite generalized eigenvalues equal to the zeros of the polynomial matrix. The matrix dimensions of the pencil we obtain by solving an integer linear programming (ILP) minimization problem. Then by extracting a deflating subspace of the pencil we come to the required spectral factorization. We apply the algorithm to most general-case of inner-outer factorization, regardless continuous or discrete time case, and to finding the greatest common divisor of polynomial matrices.


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โœ Reinhard Mennicken; Andrey A. Shkalikov ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 649 KB

The authors study symmetric operator matrices A B = ( B ' C ) in the product of Hilbert spaces H = Hi xH2, where the entries are not necessarily bounded operators. Under suitable assumptions the closure Lo exists and is a selfadjoint operator in H. With Lo, the closure of the transfer function M(X)