抄録
This paper addresses identification of Hammerstein nonlinear ARMAX model by using a numerical algorithm for subspace state space system identification method. When the static memoryless nonlinear block of Hammerstein models is considered as the sum of some known functions, the ARMAX model of the linear part can be estimated as a multi-input single-output (MISO) system with the subspace identification method. The ARMAX model can be derived from the estimated state space model. The simulation results show that the proposed algorithm is effective.
