Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Data-Driven Control-Theoretic Paradigm for Pandemic Mitigation with
  Application to Covid-19   In this paper, we introduce a new control-theoretic paradigm for mitigating
the spread of a virus. To this end, our discrete-time controller, aims to
reduce the number of new daily deaths, and consequently, the cumulative number
of deaths. In contrast to much of the existing literature, we do not rely on a
potentially complex virus transmission model whose equations must be customized
to the "particulars" of the pandemic at hand. For new viruses such as Covid-19,
the epidemiology driving the modelling process may not be well known and model
estimation with limited data may be unreliable. With this motivation in mind,
the new paradigm described here is data-driven and, to a large extent, we avoid
modelling difficulties by concentrating on just two key quantities which are
common to pandemics: the doubling time, denoted by $d(k)$ and the peak day
denoted by $\theta(k)$. Our numerical studies to date suggest that our
appealingly simple model can provide a reasonable fit to real data. Given that
time is of the essence during the ongoing global health crisis, the intent of
this paper is to introduce this new paradigm to control practitioners and
describe a number of new research directions suggested by our current results.

5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
19
The categories of this paper are: eess
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an