Informative data: How to get just sufficiently rich?

  title={Informative data: How to get just sufficiently rich?},
  author={Michel Gevers and Alexandre Sanfelice Bazanella and Ljubisa Miskovic},
  journal={2008 47th IEEE Conference on Decision and Control},
Prediction error identification requires that data be informative with respect to the chosen model structure. Whereas sufficient conditions for informative experiments have been available for a long time, there were surprisingly no results of necessary and sufficient nature. With the recent surge of interest in optimal experiment design, it is of interest to know the minimal richness required of the externally applied signal to make the experiment informative. We provide necessary and… CONTINUE READING

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