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 the recent subspace-based identification methods. As an application, we consider the problem of system identification with interpolation constraints. 

Cite this paper

@article{Akcay2005ASA, title={A Subspace-Based Approach to Lagrange-Sylvester Interpolation of Rational Matrix Functions}, author={Huseyin Akcay and Semiha Turkay}, journal={Proceedings of the 44th IEEE Conference on Decision and Control}, year={2005}, pages={7102-7107} }