Auxiliary model identification method for multirate multi-input systems based on least squares

  • Authors:

  • Lili Han;Jie Sheng;Feng Ding;Yang Shi

  • Affiliations:

  • Control Science and Engineering Research Center, Jiangnan University, Wuxi, 214122, PR China;Institute of Technology, University of Washington, Tacoma, 98402-3100, USA;Control Science and Engineering Research Center, Jiangnan University, Wuxi, 214122, PR China;Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, Canada S7N 5A9

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 2009

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Abstract

This paper derives state-space models for multirate multi-input sampled-data systems. Based on the corresponding transfer function models, an auxiliary model based recursive least squares algorithm is presented to identify the parameters of the multirate systems from the multirate input-output data. Further, convergence properties of the proposed algorithm are analyzed. Finally, an illustrative example is given.