General results on the McMillan degree and the Kronecker indices of ARMA and MFD models

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.

[1]  P. Dooren The generalized eigenstructure problem in linear system theory , 1981 .

[2]  Phm Peter Janssen,et al.  On model parametrization and model structure selection for identification of MIMO-systems , 1988 .

[3]  H. Elliott,et al.  Discrete models for linear multivariable systems , 1983 .

[4]  Michel Gevers,et al.  ARMA models, their Kronecker indices and their McMillan degree , 1986 .

[5]  Joos Vandewalle,et al.  On the determination of the Smith-Macmillan form of a rational matrix from its Laurent expansion , 1970 .

[6]  Jr. G. Forney,et al.  Minimal Bases of Rational Vector Spaces, with Applications to Multivariable Linear Systems , 1975 .

[7]  A. Pugh,et al.  On the zeros and poles of a rational matrix , 1979 .

[8]  József Bokor,et al.  ARMA canonical forms obtained from constructibility invariants , 1987 .

[9]  B. O. Anderson,et al.  Generalized Bezoutian and Sylvester matrices in multivariable linear control , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[10]  A. Pugh The McMillan degree of a polynomial system matrix , 1976 .

[11]  Leonard M. Silverman,et al.  A system theoretic interpretation for GCD extraction , 1981 .

[12]  Thomas Kailath,et al.  Linear Systems , 1980 .

[13]  Manfred Deistler,et al.  The Properties of the Parameterization of ARMAX Systems and Their Relevance for Structural Estimation and Dynamic Specification , 1983 .

[14]  E. J. Hannan,et al.  Multivariate linear time series models , 1984, Advances in Applied Probability.