Title :
Evolutionary identification algorithm for Hammerstein system and its convergence analysis
Author :
Zhang Qian ; Wang Qunjing ; Li Guoli
Author_Institution :
Sch. of Electr. Eng. & Autom., Anhui Univ., Hefei, China
Abstract :
A evolutionary identification algorithm RLS-PSO is introduced to the Hammerstein system, the details of calculation are shown. A numerical example is proposed to show the rationality and effectiveness of this algorithm. The convergence performance is also analyzed in this paper, it is proved that the algorithm can converge with a large N.
Keywords :
convergence; evolutionary computation; particle swarm optimisation; Hammerstein system; RLS-PSO; convergence analysis; evolutionary identification algorithm; Algorithm design and analysis; Analytical models; Conferences; Convergence; Educational institutions; Evolutionary computation; Industrial electronics; Hammerstein model; Particle Swarm Optimization; convergence; parameter identification;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931522
