Identification of diffusively coupled linear networks through structured polynomial models

@article{Kivits2022IdentificationOD,
  title={Identification of diffusively coupled linear networks through structured polynomial models},
  author={E.M.M. Kivits and Paul M. J. Van den Hof},
  journal={IEEE Transactions on Automatic Control},
  year={2022}
}
—Physical dynamic networks most commonly consist of interconnections of physical components that can be described by diffusive couplings. These diffusive couplings imply that the cause-effect relationships in the interconnections are symmetric and therefore physical dynamic networks can be represented by undirected graphs. This paper shows how prediction error identification methods developed for linear time-invariant systems in polynomial form can be configured to consistently identify the… 
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