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We present a novel design of experiments (DOE) approach to incorporate model identification into optimal experimental designs based on a postulated model superstructure and an associated relaxation strategy. We show that an adaptive online design of experiments allows for the accurate estimation of the parameters of a domain-restricted model, as well as the model structure and domain on which that...
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