Identification of the transfer function for dual-rate system based on IPSO

Author

Gu, Qi-ting ; Lin, Wei-xing

Author_Institution

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

fYear

2009

Firstpage

1365

Lastpage

1371

Abstract

This paper proposes that the dual-rate system is transformed from a lifted state-space model to the difference equation of transfer function. An improved particle swarm optimization (IPSO) algorithm is presented to estimate the transfer function´s parameters. Comparing the simulation results with a recursive least squares (RLS) the algorithms of IPSO estimates parameters in different signal to noise ratio (SNR). Simulation results show that identification of IPSO has better stability and robust than one of RLS.

Keywords

difference equations; particle swarm optimisation; state-space methods; transfer functions; difference equation; dual-rate system; improved particle swarm optimization algorithm; lifted state-space model; transfer function identification; Difference equations; Least squares approximation; Noise robustness; Parameter estimation; Particle swarm optimization; Recursive estimation; Resonance light scattering; Robust stability; Signal to noise ratio; Transfer functions; Dual-rate system; Improved Particle Swarm Optimization; Parameters estimation; Recursive least squares; Transfer function;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on

Conference_Location

Guilin

Print_ISBN

978-1-4244-4774-9

Electronic_ISBN

978-1-4244-4775-6

Type

conf

DOI

10.1109/ROBIO.2009.5420807

Filename

5420807