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A Subspace-Based Approach to Lagrange-Sylvester Interpolation of Rational Matrix Functions | IEEE Conference Publication | IEEE Xplore

A Subspace-Based Approach to Lagrange-Sylvester Interpolation of Rational Matrix Functions


Abstract:

In this paper, we study Lagrange-Sylvester interpolation of rational matrix functions which are analytic at infinity and propose a new interpolation algorithm based on th...Show More

Abstract:

In this paper, we study Lagrange-Sylvester interpolation of rational matrix functions which are analytic at infinity and propose a new interpolation algorithm based on the recent subspace-based identification methods. As an application, we consider the problem of system identification with interpolation constraints.
Date of Conference: 15-15 December 2005
Date Added to IEEE Xplore: 30 January 2006
Print ISBN:0-7803-9567-0
Print ISSN: 0191-2216
Conference Location: Seville, Spain

I. Introduction

Let us consider a multi-input/multi-output, linear-time invariant, discrete-time system represented by the state-space equations: \eqalignno{ &x(k+1) = Ax(k)+Bu(k)\cr &y(k) = Cx(k)+Du(k) &\hbox{(1)}}

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References

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