Identification of continuous-time Hammerstein systems by simultaneous perturbation stochastic approximation

作者：

Highlights：

• We propose an identification method for continuous-time Hammerstein models.

• The nonlinear subsystem approximation is based on piecewise affine function.

• We use simultaneous perturbation stochastic approximation algorithm.

• The proposed method has a good potential in identifying the Hammerstein models.

摘要

•We propose an identification method for continuous-time Hammerstein models.•The nonlinear subsystem approximation is based on piecewise affine function.•We use simultaneous perturbation stochastic approximation algorithm.•The proposed method has a good potential in identifying the Hammerstein models.

论文关键词：Systems identification,Stochastic approximation,Continuous-time Hammerstein models

论文评审过程：Received 4 February 2015, Revised 22 August 2015, Accepted 23 August 2015, Available online 1 September 2015, Version of Record 20 October 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.041