An approach to multidimensional Fornasini-Marchesini state-space model realization w.r.t. columns of transfer matrices

Abstract This paper proposes a new approach that can generate a low-order Fornasini–Marchesini (F–M) model realization for a given n -D system by taking into account the column structural properties of its transfer matrix. Specifically, a new necessary and sufficient realization condition is developed for the F–M model realization based on a resolvent invariant space associated with the Gleason’s problem specified by the given n -D transfer matrix. Then, a new constructive procedure with respect to the columns of a given transfer matrix is proposed for constructing a low-order F–M model realization. In order to apply this procedure to the multiple-input multiple-output case more effectively, an improved realization procedure based on a polynomial description is also proposed. It will be shown, by both algorithmic analysis and illustrative examples, that for a transfer matrix having more rows than columns the proposed realization approach may generate a much lower realization order than the existing one with respect to the rows of a given n -D transfer matrix recently developed by Cheng et al. Particularly, for a given scalar transfer function, our new approach always generates an F–M model realization with lower order than the existing methods.

[1]  Peter H. Bauer,et al.  Realization Using the Fornasini-Marchesini Model for Implementations in Distributed Grid Sensor Networks , 2011, IEEE Transactions on Circuits and Systems I: Regular Papers.

[2]  Leonard T. Bruton,et al.  BIBO stability of inverse 2-D digital filters in the presence of nonessential singularities of the second kind , 1989 .

[3]  Harry L. Trentelman,et al.  Input-output finite-region stability and stabilization for discrete 2-D Fornasini-Marchesini models , 2017, Syst. Control. Lett..

[4]  Li Xu,et al.  Realization of multidimensional systems in Fornasini-Marchesini state-space model , 2011, Multidimens. Syst. Signal Process..

[5]  Zhiping Lin,et al.  A New Elementary Operation Approach to Multidimensional Realization and LFR Uncertainty Modeling: The MIMO Case , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[6]  K. Galkowski The Fornasini-Marchesini and the Roesser models: algebraic methods for recasting , 1996, IEEE Trans. Autom. Control..

[7]  Zhiping Lin,et al.  On Realization of 2D Discrete Systems by Fornasini-Marchesini Model , 2005 .

[8]  Juan C. Cockburn,et al.  Linear Fractional Representations of Uncertain Systems , 1997, Autom..

[9]  Zhiping Lin,et al.  A New Constructive Procedure for 2-D Coprime Realization in Fornasini–Marchesini Model , 2007, IEEE Transactions on Circuits and Systems I: Regular Papers.

[10]  D. Bernstein Matrix Mathematics: Theory, Facts, and Formulas , 2009 .

[11]  W. Rudin Function Theory in the Unit Ball of Cn , 1980 .

[12]  Zhiping Lin,et al.  Coefficient-dependent direct-construction approach to realization of multidimensional systems in Roesser model , 2011, Multidimens. Syst. Signal Process..

[13]  Daniel Alpay,et al.  A realization theorem for rational functions of several complex variables , 2003, Syst. Control. Lett..