Title :
Hammerstein model identification based on bacterial foraging
Author :
Lin, W. ; Liu, P.X.
Author_Institution :
Fac. of Inf. Sci. & Technol., Ningbo Univ.
Abstract :
A new algorithm for Hammerstein model identification based on bacterial foraging is developed. Simulations and comparisons show its advantages over the particle swarm optimisation algorithm in terms of immunity to coloured noise, model accuracy, and the convergence of parameters
Keywords :
artificial life; identification; nonlinear systems; optimisation; Hammerstein model identification; bacterial foraging; coloured noise immunity; model accuracy; particle swarm optimisation;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20062743
