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

  • Authors:

  • Lili Han;Fangxiang Wu;Jie Sheng;Feng Ding

  • Affiliations:

  • Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China and Department of Mechanical Engineering, University of Saskatchew ...;Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada S7N 5A9;Institute of Technology, University of Washington, Tacoma, WA 98402-3100, USA;Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China

  • Venue:
  • Mathematics and Computers in Simulation
  • Year:
  • 2012

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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.