Identification for Dual-rate Systems With Colored Noises Using FIR-RELS Methods
This paper studies modeling and identification problems for dual-rate systems with colored noises. The state-space models are derived for the systems with different input and output updating periods, furthermore the corresponding transfer functions are obtained. To solve the difficulty of identification models with unmeasurable noises terms, the FIR-RELS method is presented in this paper. The basic idea is to approximate the noise model by FIR (Finite Impulse Response) model, then using the RELS (Recursive Extended Least Squares) method to estimate the process model parameters. Finally, the simulation results show that the proposed method has good performance than RLS (Recursive Least Squares) and other algorithms.
Dual-rate Identification Least Squares RELS FIR
Liu Yong-hua Liu Xing Zhang Yong Cui Gui-mei3
Engineering Training Center, Inner Mongolia University of Science and Technology, Baotou 014010, PR China National logging Copporation, Beijing, 100001, PR China School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 01401
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
1783-1787
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）