Identification of linear time-variant systems without using prior information

@article{Yang2002IdentificationOL,
  title={Identification of linear time-variant systems without using prior information},
  author={Yi Yang and Hanoch Lev-Ari},
  journal={2002 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={2002},
  volume={2},
  pages={II-1741-II-1744}
}
We introduce a technique for identification of systems with arbitrarily time-variant responses from samples of their input and output signals, and without using any prior information about the dynamics of the unknown system response. Our technique uses only input-output data to determine the parameters that are required in the construction of an extended RLS estimator (as described in [3]) for the unknown system response. We demonstrate the utility of our approach via a numerical example. 

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Adaptive Tracking of Linear Time­ Variant Systems without Prior Information

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