Knowledge elicitation via extension of fragmental knowledge pieces

@article{Krn2009KnowledgeEV,
  title={Knowledge elicitation via extension of fragmental knowledge pieces},
  author={Miroslav K{\'a}rn{\'y}},
  journal={2009 European Control Conference (ECC)},
  year={2009},
  pages={1571-1575}
}
The paper describes an advanced methodology of automatic knowledge elicitation. It merges fragmental uncertain knowledge pieces into the prior distribution of unknown parameter of a probabilistic model of a dynamic system. Careful knowledge elicitation helps in achieving as bump-less start of model-based controllers as possible. It is also important when observed data are poorly informative, which is a typical situation in closed control loops. Rigorous use of the Bayesian paradigm to the… CONTINUE READING

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