An Auxiliary Model Based Multi-innovation Recursive Least Squares Estimation Algorithms for MIMO Hammerstein System
An auxiliary model based multi-innovation recursive least squares estimation algorithms is proposed in this paper. The unknown variables in the information vector can be estimated by using the auxiliary model. The proposed recursive least squares algorithm uses not only the current innovation but also the past innovations at each recursion and thus the parameter estimation accuracy can be improved. Finally, the simulation results indicate that the proposed algorithm has good performances.
WANG Xiuping CHEN Jing
Wuxi Professional College of Science and Technology, Wuxi, 214028, P.R.China Wuxi Professional College of Science and Technology, Wuxi, 214028, P.R.China school of IoT Engineeri
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-4
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）