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Subspace approximation with applications to system identification

Authors: Mohammed A. Hasan; Ali A. Hasan;

Subspace approximation with applications to system identification

Abstract

In this paper, a novel approach for parameter identification of linear time invariant (LTI) systems using matrix pencils and ESPRIT-type methods is presented. The relations between Hankel matrices formed from the truncated impulse response and the companion matrix of the poles of the system are fully investigated. Specifically, it is shown that, up to a constant Hankel matrix, every Hankel matrix of finite rank is a power of a companion matrix. Thus, the identification of the system poles reduces directly to solving a generalized eigenvalue problem constructed from two shifted Hankel matrices of the impulse response. Next, we derive an ESPRIT method for the system identification problem. The most significant poles are the solution of an eigenvalue problem of a matrix formed from the singular value decomposition of augmented Hankel matrices of the truncated impulse response of the system. This approach can also be applied for system order reduction. Finally, a generalization for system identification of multi-output single-input linear systems is provided.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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