State and Parameter Estimation for Natural Gas Pipeline Networks Using Transient State Data

@article{Sundar2019StateAP,
  title={State and Parameter Estimation for Natural Gas Pipeline Networks Using Transient State Data},
  author={Kaarthik Sundar and Anatoly Zlotnik},
  journal={IEEE Transactions on Control Systems Technology},
  year={2019},
  volume={27},
  pages={2110-2124}
}
We formulate two estimation problems for pipeline systems in which measurements of the compressible gas flowing through a network of pipes are affected by time-varying injections, withdrawals, and compression. We consider a state estimation problem that is then extended to a joint state and parameter estimation problem that can be used for data assimilation. In both formulations, the flow dynamics are described on each pipe by space- and time-dependent densities and mass flux which evolve… 

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