Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model
A novel nonlinear system identification scheme is proposed. A Hammerstein model has been trained using cuckoo search algorithm. The model is a cascade of a FLANN and an adaptive IIR filter. Simulation study shows enhanced modeling capacity of the proposed scheme. The new schemes offers lesser computational time over other methods studied.
system identification hammerstein model cuckoo search algorithm particle swarm optimization algorithm differential evolution