Research Article
Regularized Least Squares Recursive Algorithm with Forgetting Factor for Identifying Parameters in the Grinding Process
Table 1
The parameter identification results of different
.
| The value of | Identification results | | Absolute error | | Absolute error | | Absolute error | | Absolute error |
| | −1.5434 | 0.0434 | 0.7694 | 0.0694 | 1.0543 | 0.0543 | 0.5164 | 0.0164 | | −1.5059 | 0.0059 | 0.7076 | 0.0076 | 1.1059 | 0.1059 | 0.4532 | 0.0468 | | −1.4527 | 0.0473 | 0.6951 | 0.0049 | 1.0817 | 0.0817 | 0.5151 | 0.0151 | | −1.5300 | 0.0300 | 0.7447 | 0.0447 | 1.0146 | 0.0146 | 0.7409 | 0.2409 | | −1.4797 | 0.0203 | 0.6642 | 0.0358 | 0.9826 | 0.0174 | 0.3803 | 0.0297 | | −1.4631 | 0.0369 | 0.6848 | 0.0152 | 0.9666 | 0.0364 | 0.5916 | 0.0916 | | −1.5227 | 0.0227 | 0.7230 | 0.0230 | 0.9214 | 0.0786 | 0.7239 | 0.2239 | | −1.5557 | 0.0557 | 0.7010 | 0.0010 | 0.7703 | 0.2297 | 0.4051 | 0.0949 | | −1.5805 | 0.0305 | 0.7668 | 0.0668 | 0.8559 | 0.1441 | 0.5573 | 0.0573 | | −1.6059 | 0.1059 | 0.7983 | 0.0983 | 0.9148 | 0.0852 | 0.4076 | 0.0924 | | −1.4907 | 0.0093 | 0.7546 | 0.0546 | 1.1587 | 0.1587 | 0.6139 | 0.1139 | | −1.4976 | 0.0022 | 0.6987 | 0.0013 | 1.0150 | 0.0150 | 0.5167 | 0.0167 | | −1.4407 | 0.0083 | 0.6825 | 0.0175 | 1.1735 | 0.0249 | 0.6839 | 0.1839 |
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