Research Article
Least-Squares Parameter Estimation Algorithm for a Class of Input Nonlinear Systems
Table 4
The parameter estimates () ( = 1.502, = 32.87%).
| | | | | | | | (%) |
| 100 | −1.37143 | 0.79561 | 1.93906 | 0.81731 | 0.49688 | 0.16665 | 12.66088 | 200 | −1.36256 | 0.77335 | 1.88773 | 0.89403 | 0.50353 | 0.17365 | 9.26624 | 500 | −1.35374 | 0.76009 | 1.77500 | 1.00710 | 0.50417 | 0.18108 | 3.83703 | 1000 | −1.35074 | 0.75537 | 1.72205 | 1.01710 | 0.50372 | 0.18381 | 1.90836 | 2000 | −1.34587 | 0.74895 | 1.71204 | 0.97678 | 0.50296 | 0.20424 | 1.57452 | 3000 | −1.34448 | 0.74649 | 1.69603 | 0.97053 | 0.49834 | 0.20990 | 1.39744 |
| True values | −1.35000 | 0.75000 | 1.68000 | 1.00000 | 0.50000 | 0.20000 | |
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