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A New Approach to Multilinear Dynamical Systems and Control

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arxiv 2108.13583 v1 pith:2ETFDHEM submitted 2021-08-31 cs.LG cs.MAmath.DS

classification cs.LGcs.MAmath.DS
keywords tensorapproachmultilinearsystemsbecomecontroldecompositiondefined
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The current paper presents a new approach to multilinear dynamical systems analysis and control. The approach is based upon recent developments in tensor decompositions and a newly defined algebra of circulants. In particular, it is shown that under the right tensor multiplication operator, a third order tensor can be written as a product of third order tensors that is analogous to a traditional matrix eigenvalue decomposition where the "eigenvectors" become eigenmatrices and the "eigenvalues" become eigen-tuples. This new development allows for a proper tensor eigenvalue decomposition to be defined and has natural extension to linear systems theory through a \textit{tensor-exponential}. Through this framework we extend many of traditional techniques used in linear system theory to their multilinear counterpart.

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  1. Data-driven model order reduction for T-Product-Based dynamical systems

    eess.SY 2025-04 conditional novelty 5.0 of 10

    The authors extend balanced truncation, balanced POD, and eigensystem realization to T-product tensor systems by replacing SVD with T-SVD, claiming comparable accuracy at lower cost.

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