Parameter Estimation for OEMA Models With Dual-Rate Input-Output Data

摘要：

This paper deals with the parameter estimation problems of the dual-rate sampled-data systems. The output error models with colored noise are considered as the nature models for systems in industries and thus are taken to model the dual-rate sampled-data systems in this paper. The recursive prediction error method is proposed to estimate the parameters directly from the dual-rate sampled data, and an auxiliary model is employed to estimate the noise-free system output. Simulation is given to test and illustrate the proposed algorithm in the paper.

关键词： Output Error Model Dual-Rate Sampled Data Auxiliary Model Recursive Prediction Error Method

作者: DING Jie YIN Jun ZHU Songhao

作者单位: College of Automation, Nanjing University of Posts & Telecommunications, Nanjing 210003, P. R. China School of Information Science & Technology, Donghua University, Shanghai, 201620, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 1944-1947

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）