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Bias Compensation of Recursive Least Squares Estimate in Closed Loop Environment
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ikeda, Kenji Shimomura, Takao |
| Copyright Year | 2008 |
| Abstract | In this paper, an asymptotic bias of the recursive least squares (RLS) estimate in the closed loop environment is analyzed and its compensation method is proposed under the assumption that the noise is white. Namely, a bias compensated RLS method in the closed loop environment based on output error (OE) model is proposed. A posteriori error is also analyzed for the estimation of the noise variance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://scholar.lib.vt.edu/MTNS/Papers/008.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Closed-loop transfer function Estimation theory Motion compensation Recursion Recursive least squares filter Restless Legs Syndrome Sample Variance |
| Content Type | Text |
| Resource Type | Article |
