Recursive Relaxation Algorithm for Identification of Multiple Input Multiple Output Systems

摘要：

　　The traditional system identification method based on least square method has the disadvantages of heavy computation and slow operation speed in a particular model.In this paper,the off-line identification based on the equation error autoregressive model is studied by using the relaxation algorithm which is proved the unbiasedness and effectiveness.Furthermore,on the basis of off-line identification parameters,the system is identified online by recursive relaxation algorithm that calculated by relaxation algorithm.The simulation results show that the recursive relaxation algorithm has good computational speed and identification accuracy in the multi-input-multi-output linear system.

关键词： Relaxation algorithm Online identification Linear system Multiple input multiple output

作者: Ying Zhou Jing-song Yang Tong Wang Hong Wang

作者单位: Hebei University of Technology,Tianjin 300130,China The 53rd Research Institute of CETGC,Tianjin 300130,China 93756 Troops,Tianjin,China

会议类型: 国际会议

会议名称: 2019中国智能自动化大会(CIA,2019)

会议地点: 江苏镇江

会议语种:英文

页码: 611-619

在线出版日期: 2019-09-20（万方平台首次上网日期，不代表论文的发表时间）