Robust optimal experiment design for nonlinear dynamic systems

  title={Robust optimal experiment design for nonlinear dynamic systems},
  author={Dries Telen and Dominique Vercammen and Filip Logist and J Van Impe},
  journal={22nd Mediterranean Conference on Control and Automation},
Experiments that yield as much information as possible are highly valuable for estimating parameters in nonlinear dynamic processes. Techniques for model based optimal experiment design enable the design of such experiments. However, these experiments depend on the current best estimate of the parameters, which are not necessarily the true values. Consequently, in real experiments (i) the information content can be lower than predicted and (ii) state constraints can be violated. This paper… CONTINUE READING


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