English

A New Approach to Multilinear Dynamical Systems and Control

Machine Learning 2021-09-01 v1 Multiagent Systems Dynamical Systems

Abstract

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.

Keywords

Cite

@article{arxiv.2108.13583,
  title  = {A New Approach to Multilinear Dynamical Systems and Control},
  author = {Randy C. Hoover and Kyle Caudle and Karen Braman},
  journal= {arXiv preprint arXiv:2108.13583},
  year   = {2021}
}
R2 v1 2026-06-24T05:32:58.642Z