Data-driven Structured Realization

نویسندگان

  • Philipp Schulze
  • Benjamin Unger
  • Christopher A. Beattie
  • Serkan Gugercin
چکیده

We present a framework for constructing structured realizations of linear dynamical systems having transfer functions of the form C̃( ∑K k=1 hk(s)Ãk) −1B̃ where h1, h2, ..., hK are prescribed functions that specify the surmised structure of the model. Our construction is data-driven in the sense that an interpolant is derived entirely from measurements of a transfer function. Our approach extends the Loewner realization framework to more general system structure that includes second-order (and higher) systems as well as systems with internal delays. Numerical examples demonstrate the advantages of this approach.

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عنوان ژورنال:
  • CoRR

دوره abs/1611.02072  شماره 

صفحات  -

تاریخ انتشار 2016