Identification for multirate multi-input systems using the multi-innovation identification theory

  • Authors:
  • Lili Han;Feng Ding

  • Affiliations:
  • Control Science and Engineering Research Center, Jiangnan University, Wuxi 214122, PR China;Control Science and Engineering Research Center, Jiangnan University, Wuxi 214122, PR China

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2009

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Abstract

This paper considers identification problems of multirate multi-input sampled-data systems. Using the continuous-time system discretization technique with zero-order holds, the mapping relationship (state-space model) between available multirate input and output data is set up. The multi-innovation identification theory is applied to estimate the parameters of the obtained multirate models and to present a multi-innovation stochastic gradient algorithm for the multirate systems from the multirate input-output data. Furthermore, the convergence properties of the proposed algorithm are analyzed. An illustrative example is given.