Integrated identification method for multi-input/single-output Hammerstein system
一种多输入单输出Hammerstein系统的集成辨识方法

An integrated identification method combining steady-state and dynamic identification is introduced for the multi-input/single-output(MISO) Hammerstein system.The strong consistent estimates of steady-state model are obtained by using steady-state data.The neural network can be used to approach nonlinearity function by using steady-state model.The consistent estimation of the linear unknown parameter of the the multi-input-single-output(MISO) Hammerstein system are obtained.The efficiency and applicability of this estimation technique is demonstrated by simulation results.