Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Investigating Data-driven systems as digital twins: Numerical behavior
  of Ho-Kalman method for order estimation   System identification has been a major advancement in the evolution of
engineering. As it is by default the first step towards a significant set of
adaptive control techniques, it is imperative for engineers to apply it in
order to practice control. Given that system identification could be useful in
creating a digital twin, this work focuses on the initial stage of the
procedure by discussing simplistic system order identification. Through
specific numerical examples, this study constitutes an investigation on the
most \natural" method for estimating the order from responses in a convenient
and seamless way in time-domain. The method itself, originally proposed by Ho
and Kalman and utilizing linear algebra, is an intuitive tool retrieving
information out of the data themselves. Finally, with the help of the
limitations of the methods, the potential future outlook is discussed, under
the prism of forming a digital twin.

8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
18
The categories of this paper are: econ