Subspace identification of Hammerstein systems with frequency domain data

Abstract

This paper addresses identification of Hammerstein systems using the sampled input-output data in frequency domain. When the static memoryless nonlinear part of Hammerstein model can be considered as a polynomial with a known order, the following linear part can be estimated as a multi-input single-output (MISO) systems with the numerical algorithm for subspace state space system identification method. Simulation results illustrate this approach is effective.