General results on the McMillan degree and the Kronecker indices of ARMA and MFD models
- 1 August 1988
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 48 (2) , 591-608
- https://doi.org/10.1080/00207178808906199
Abstract
This paper shows that the McMillan degree of general ARMA and MFD models is equal to the pole-zero excess of the matrix consisting of the polynomial factors. Furthermore, the left Kronecker indices are equal to the row degrees of this matrix if and only if it is row-reduced and irreducible. For left coprime ARMA and MFD models the McMillan degree and the left Kronecker indices are related to the determinantal degree and the row degrees of a suitable submatrix of the polynomial factors. Under certain (necessary and sufficient) conditions this information can even be inferred from the denominator matrices in the ARMA and MFD models. Finally a rank test is presented for actually computing the McMillan degree of left coprime ARMA and MFD models.Keywords
This publication has 13 references indexed in Scilit:
- ARMA canonical forms obtained from constructibility invariantsInternational Journal of Control, 1987
- ARMA models, their Kronecker indices and their McMillan degreeInternational Journal of Control, 1986
- Multivariate linear time series modelsAdvances in Applied Probability, 1984
- The Properties of the Parameterization of Armax Systems and Their Relevance for Structural Estimation and Dynamic SpecificationEconometrica, 1983
- A system theoretic interpretation for GCD extractionIEEE Transactions on Automatic Control, 1981
- The generalized eigenstructure problem in linear system theoryIEEE Transactions on Automatic Control, 1981
- On the zeros and poles of a rational matrixInternational Journal of Control, 1979
- Generalized Bezoutian and Sylvester matrices in multivariable linear controlIEEE Transactions on Automatic Control, 1976
- The McMillan degree of a polynomial system matrix†International Journal of Control, 1976
- Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear SystemsSIAM Journal on Control, 1975