Probabilistic model validation for uncertain nonlinear systems

@article{Halder2014ProbabilisticMV,
  title={Probabilistic model validation for uncertain nonlinear systems},
  author={Abhishek Halder and R. Bhattacharya},
  journal={Autom.},
  year={2014},
  volume={50},
  pages={2038-2050}
}
This paper presents a probabilistic model validation methodology for nonlinear systems in time-domain. The proposed formulation is simple, intuitive, and accounts both deterministic and stochastic nonlinear systems with parametric and nonparametric uncertainties. Instead of hard invalidation methods available in the literature, a relaxed notion of validation in probability is introduced. To guarantee provably correct inference, algorithm for constructing probabilistically robust validation… Expand
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