Adaptive Regulation of Hammerstein Systems with Nonlinear Observations
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.