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arXiv · 2307.15275

Computing Invariant Zeros of a Linear System Using State-Space Realization

Abstract

It is well known that zeros and poles of a single-input, single-output system in the transfer function form are the roots of the transfer function's numerator and the denominator polynomial, respectively. However, in the state-space form, where the poles are a subset of the eigenvalue of the dynamics matrix and thus can be computed by solving an eigenvalue problem, the computation of zeros is a non-trivial problem. This paper presents a realization of a linear system that allows the computation of invariant zeros by solving a simple eigenvalue problem. The result is valid for square multi-input, multi-output (MIMO) systems, is unaffected by lack of observability or controllability, and is easily extended to wide MIMO systems. Finally, the paper illuminates the connection between the zero-subspace form and the normal form to conclude that zeros are the poles of the system's zero dynamics

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BibTeXRIS

Jhon Manuel Portella Delgado, Ankit Goel. 2024-02-06. Computing Invariant Zeros of a Linear System Using State-Space Realization. https://arxiv.org/abs/2307.15275

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