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

摘要：

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 functions 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.

关键词： Dual-rate system Improved Particle Swarm Optimization Recursive least squares Transfer function Parameters estimation.

作者: Qi-ting Gu Wei-xing Lin

作者单位: Faculty of Information Science and Technology University of Ningbo,Ningbo,Zhejiang,China,315211

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1365-1371

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）