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Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model

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Listed:
  • Han, Lili
  • Wu, Fangxiang
  • Sheng, Jie
  • Ding, Feng

Abstract

This paper considers identification problems of multirate multiple-input output error systems, derives the input-output representations by using the state space models of the multirate systems, and presents two auxiliary model based recursive least squares algorithms for the corresponding output error models with each subsystem having different or same denominator polynomials. The simulation results show the effectiveness of the proposed algorithms.

Suggested Citation

  • Han, Lili & Wu, Fangxiang & Sheng, Jie & Ding, Feng, 2012. "Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 777-789.
    • Handle: RePEc:eee:matcom:v:82:y:2012:i:5:p:777-789
    DOI: 10.1016/j.matcom.2011.05.014
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    References listed on IDEAS

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