Multi-rate system identification based on improved PSO

Author

Lin, Wei-xing ; Gu, Qi-ting ; Chen, Yan-Hai

Author_Institution

Fac. of Inf. Sci. & Technol., Univ. of Ningbo Ningbo, Ningbo, China

fYear

2009

fDate

16-19 Aug. 2009

Abstract

This paper presents a new method of multi-rate system identification based on improved particle swarm optimization (PSO). The paper discusses multi-rate system transformation based on the lifting technique. The coefficients of multi-rate systems with the state-space model are estimated using least square estimation technique and improved PSO techniques, respectively. The results show that the improved PSO algorithm has higher accuracy and faster convergence than the least squares method in multi-rate system identification.

Keywords

identification; particle swarm optimisation; least square estimation technique; lifting technique; multirate system identification; multirate system transformation; particle swarm optimization; state-space model; Information science; Instruments; Least squares methods; Nonlinear filters; Particle measurements; Particle swarm optimization; Sampling methods; State estimation; System identification; Time varying systems; Identification; Improved Particle Swarm Optimization; Least Squares; Multi-rate system;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3863-1

Electronic_ISBN

978-1-4244-3864-8

Type

conf

DOI

10.1109/ICEMI.2009.5274220

Filename

5274220