Multi-rate system identification based on improved PSO

摘要：

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 multirate system identification.

关键词： Multi-rate system Improved Particle Swarm Optimization Least Squares Identification.

作者: Wei-xing Lin Qi-ting Gu Yan-hai Chen

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 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 2744-2748

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）