A novel identification method based on QDPSO for Hammerstein error-output system

The objectives of this paper are to identify the Hammerstein system adaptively based on Quantum Delta-potential-well-based Particle Swarm Optimization(QDPSO). First, the Hammerstein output-error system is shown in briefly. Second, according to the article Swarm Optimization(PSO), an improved QDPSO algorithm is presented. Third, training samples for intermediate linear model are obtained by operating measured data synthetically, and coefficients of the intermediate model is obtained by the QDPSO algorithm. Finally, The efficiency of the proposed algorithm is demonstrated by simulation examples.