Reliable non-linear state estimation involving time uncertainties

@article{Rohou2018ReliableNS,
  title={Reliable non-linear state estimation involving time uncertainties},
  author={Simon Rohou and Luc Jaulin and Lyudmila S. Mihaylova and Fabrice Le Bars and Sandor M. Veres},
  journal={Automatica},
  year={2018},
  volume={93},
  pages={379-388}
}
This paper presents a new approach to bounded-error state estimation involving time uncertainties. For a given bounded observation of a continuous-time non-linear system, it is assumed that neither the values of the observed data nor their acquisition instants are known exactly. For systems described by state-space equations, we prove theoretically and demonstrate by simulations that the proposed constraint propagation approach enables the computation of bounding sets for the systems’ state… CONTINUE READING

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