This study considers the adaptive regulation of Hammerstein systems with nonlinear regulation errors. Without identification of the unknown system itself, a stochastic approximation-type regulator is introduced based on the nonlinear observations. Numerical example shows that the regulator can achieve good performance including the nonlinear characteristics being saturation and dead-zone.

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Adaptive Regulation of Hammerstein Systems with Nonlinear Observations

  • Mingxia Ding,
  • Wenxiao Zhao

摘要

This study considers the adaptive regulation of Hammerstein systems with nonlinear regulation errors. Without identification of the unknown system itself, a stochastic approximation-type regulator is introduced based on the nonlinear observations. Numerical example shows that the regulator can achieve good performance including the nonlinear characteristics being saturation and dead-zone.