Table II.
| Parameters | Bias Percentage Error | ||
|---|---|---|---|
| Fmax=0.4 Hz | Fmax=1.2 Hz | Fmax=8 Hz | |
| K11 | 2.9 | 2.6 | 11.2 |
| B11 | 2.5 | 2.2 | 23.4 |
| K21 | 14.7 | 4.1 | 5.8 |
| B21 | 1.8 | 14.9 | 1.3 |
| Kpas1 | 17.4 | 9.8 | 69.0 |
| Td1 | 10.8 | 7.0 | 3.9 |
| K22 | 3.2 | 2.8 | 17.6 |
| B22 | 14.0 | 4.1 | 3.2 |
| K12 | 44.4 | 2.1 | 27.6 |
| B12 | 2.9 | 2.7 | 28.8 |
| Kpas2 | 9.4 | 14.1 | 42.7 |
| Td2 | 14.6 | 2.6 | 3.8 |
| K11 + Kpas1 | 1.2 | 2.8 | 0.5 |
| K22 + Kpas2 | 1.5 | 1.1 | 20.1 |
Note: Bias percentage errors are defined as 100 × absolute value of the difference between the mean fit parameter and true parameter divided by the true parameter. The mean fit parameter was the average parameter value estimated across simulation results that used 50 different noise realizations (i.e., 50 different random inputs). For each random input, 50 different initial guesses in parameters were used and parameters associated with the lower MSE (Jsim) were selected. Percentages are expressed as averages across the Text=3 N.m and Text=5 N m conditions.