Research Article
Multivariable Model Reference Adaptive Control of an Industrial Power Boiler Using Recurrent RBFN
Table 2
Comparison between our proposed method with other two methods.
| ā | Number of fuzzy rules | Root mean squares error (RMSE) | Training time | Unc. 0% | Unc. 10% | Unc. 0% | Unc. 10% | Unc. 0% | Unc. 10% |
| T1FRBFN | 26 | 41 | 0.275 | 0.344 | 51 | 55 | T2FRBFN | 9 | 11 | 0.093 | 0.115 | 33 | 38 | RT2FRBFN | 6 | 7 | 0.072 | 0.098 | 38 | 42 |
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