Title :
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
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;
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
DOI :
10.1109/ICEMI.2009.5274220
