Modified Evolution Strategy Based Identification of Multi-input Single-Output Wiener-Hammerstein Model

  • Authors:

  • Jing Ke;Chengjin Zhang;Yizheng Qiao

  • Affiliations:

  • Shandong University, China;Shandong University, China;Shandong University, China

  • Venue:
  • ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
  • Year:
  • 2007

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Abstract

Evolution strategies are a class of evolutionary algorithms with self-adaptation. A new method for identification of multi-input single-output (MISO) Wiener-Hammerstein model using evolution strategy is proposed. By using the least absolute residuals criterion, the identification scheme is cast as a complex nondifferentiable function optimization problem over parameter space. In order to find the optimal estimation of the system parameters, a modified evolution strategy is proposed to optimize the objective function. Simulation results show that the proposed method is a simple and effective non-recursive identification method, particularly for small samples.