Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Dynamic State and Parameter Estimation for Natural Gas Networks using
  Real Pipeline System Data   We present a method for joint state and parameter estimation for natural gas
networks where gas pressures and flows through a network of pipes depend on
time-varying injections, withdrawals, and compression controls. The estimation
is posed as an optimal control problem constrained by coupled partial
differential equations on each pipe that describe space- and time-dependent
density and mass flux. These are discretized and combined with nodal conditions
to give dynamic constraints for posing the estimation as nonlinear least
squares problems. We develop a rapid, scalable computational method for
performing the estimation in the presence of measurement and process noise.
Finally, we evaluate its effectiveness using a data set from a capacity
planning model for an actual pipeline system and a month of time-series data
from its supervisory control and data acquisition (SCADA) system.

5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
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The categories of this paper are: cond-mat
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
14
The categories of this paper are: math-ph
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The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
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The categories of this paper are: quant-ph
27
The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: acc-phys
34
The categories of this paper are: chem-ph
30
The categories of this paper are: q-alg