Research Article
Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems
Table 2
The parameter estimates () ( = 0.502, = 10.96%).
| | | | | | | | (%) |
| 100 | −1.35989 | 0.76938 | 1.75670 | 0.94139 | 0.49861 | 0.18862 | 3.90775 | 200 | −1.35622 | 0.76001 | 1.74205 | 0.96720 | 0.50101 | 0.19076 | 2.81582 | 500 | −1.35239 | 0.75452 | 1.70821 | 1.00256 | 0.50137 | 0.19363 | 1.15783 | 1000 | −1.35034 | 0.75193 | 1.69268 | 1.00570 | 0.50128 | 0.19460 | 0.59233 | 2000 | −1.34844 | 0.74940 | 1.69068 | 0.99224 | 0.50089 | 0.20143 | 0.52605 | 3000 | −1.34776 | 0.74847 | 1.68512 | 0.99012 | 0.49943 | 0.20333 | 0.46851 |
| True values | −1.35000 | 0.75000 | 1.68000 | 1.00000 | 0.50000 | 0.20000 | |
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