Department Process Engineering

Software: EMI

The EMI toolbox is a collection of tools for efficient model identification for dynamic systems. The latest version includes tools for deterministic parameter estimation, incremental extent-based model identification, and transparent dynamic black-box modelling.

Citing the EMI toolbox

Are you using the EMI toolbox in research work to be published? If so, please include explicit mention of this toolbox in your publication. We suggest language such as this: "To identify this model we used the EMI toolbox, a package for efficient model identification [1-2]." with one or both of the following references in your bibliography:

  •   Masic, A., Srinivasan, S., Billeter, J., Bonvin, D., Villez, K. (2017). Identification of biokinetic models using the concept of extents. Environmental Science and Technology, Accepted, In Press.
  •   Masic, A., Srinivasan, S., Billeter, J., Bonvin, D., Villez, K. (2017). Shape constrained splines as transparent black-box models for bioprocess modeling. Computers and Chemical Engineering, 99, 96-105.
  •   Masic, A., Udert, K., Villez, K. (2016). Global parameter optimization for biokinetic modeling of simple batch experiments. Environmental Modelling and Software, 85, 356-373.

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