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研究一种基于非线性环节直接表示的ＳＩＳＯＨａｍｍｅｒｓｔｅｉｎ模型参数辨识方法，针对非线性环节呈极值特性的情况，研究一种由在线辨识得到的非线性环节的参数估计值进行稳态优化的控制方法。仿真结果验证了该方法的有效性。
A parameter identification method of SISOHammerstein model based on the direct representation of non-linear links was studied. Aiming at the condition that the nonlinearity of the SISOHammerstein model was extreme, a method of steady-state optimization was studied based on the parameter estimates of the nonlinear links identified online. Simulation results verify the effectiveness of this method.