Model Confidence for Nonlinear Systems
نویسندگان
چکیده
This paper deals with defining measures of model closeness and establishing quantitative confidence bounds on nominal models. Confidence in a model is an indication of how uniquely identifiable the best fitting parameter values are from the data. These concepts are examined in both the linear and nonlinear regimes, with a practical example used to explore these propositions.
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