| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6422197 | Applied Mathematics and Computation | 2011 | 7 Pages |
Abstract
The auxiliary model based stochastic gradient (AM-SG) parameter estimation method is an important identification one. This paper analyzes the performances of the AM-SG estimation algorithm for multiple-input single-output systems (i.e., multivariable systems) under the strong persistent excitation condition. The analysis and simulation results indicate that the parameter estimation errors converge to zero.
Keywords
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Heqiang Han, Guanglei Song, Yongsong Xiao, Yuwu Liao, Ruifeng Ding,