Input-output data sets for development and benchmarking in nonlinear identification

@inproceedings{Wigren2010InputoutputDS,
  title={Input-output data sets for development and benchmarking in nonlinear identification},
  author={Torbj{\"o}rn Wigren},
  year={2010}
}
This report presents two sets of data, suitable for development, testing and benchmarking of system identification algorithms for nonlinear processes. The first data set is recorded from a laboratory process that can be well described by a block oriented nonlinear model. The data set is challenging; it consists of only 500 samples, the nonlinear effect is large and the damping is not too good. The second data set is recorded from a laboratory process known to be governed by nonlinear… CONTINUE READING

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