Identification of switched autoregressive exogenous systems from large noisy datasets

Sarah Hojjatinia1, Constantino M Lagoa1, Fabrizio Dabbene2

  • 1School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, Pennsylvania, USA.

International Journal of Robust and Nonlinear Control
|August 9, 2021
PubMed
Summary

This study presents new methods for identifying coefficients in noisy switched autoregressive systems. The approach efficiently estimates system parameters and noise distributions from input-output data, even with limited noise information.

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