基于动态分离的Hammerstein模型辨识法

 通过对工业大系统输入信号的设计，使Hammerstein模型输出只反映系统的线性动态，并将非线性部分的静态影响有效地分离掉。利用分散辨识得到系统的线性动态模型。基于此模型并依据系统的测量输出重构系统的中间输入，进而可估计出非线性部分的参数，据此给出了工业大系统中Hammerstein模型辨识的动态分离方法。仿真结果表明此方法的有效性。

Dynamic Separation Identification Method Based on Hammerstein Model

By designing the input signals of the industrial large-scale system, the linear part of the Hammerstein model can only be reflected by system output, and the nonlinear static effect can be effectively removed from the system. The linear part of the system can be identified by using the decentralized identification method. Based on the obtained linear mode and using the measured system outputs, the intermediate inputs can be reconstructed. So the nonlinear part parameters can be estimated. The dynamical separation method is proposed for the industrial large-scale system Hammerstein model identification.The simulation results show its effectiveness of the method.