Title :
A parameters identification method for Hammerstein systems based on PSO algorithm
Author :
Rui Wang ; Zhizhong Mao
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
The non-linear static components of Hammerstein systems are described by method of polynomial and piecewise linearization method. First, parameters which need to identify through mathematical derivation can be obtained. Then PSO algorithm is used to identify Hammerstein system parameters. Computer simulations demonstrate that parameters identification method based on PSO algorithm has strong robustness to measuring noise and uncertain models.
Keywords :
linearisation techniques; nonlinear control systems; parameter estimation; particle swarm optimisation; polynomials; robust control; Hammerstein system parameters; PSO algorithm; computer simulations; mathematical derivation; noise measurement; nonlinear static components; parameters identification method; piecewise linearization method; polynomial method; robustness; Computational modeling; Mathematical model; Noise; Nonlinear systems; Optimization; Parameter estimation; Polynomials; Hammerstein system; PSO algorithm; Parameter identification;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7161946
