DocumentCode
723919
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
fYear
2015
fDate
23-25 May 2015
Firstpage
6285
Lastpage
6290
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7161946
Filename
7161946
Link To Document