Research Article
Sequential Geometric Programming Method for Parameter Estimation of a Nonlinear System in Microbial Continuous Fermentation
Table 3
Comparison between the proposed SGP method and the approaches used in the literature [
23–
29].
| Error (%) | Method | This paper | [23] | [24] | [25, 26] | [27] | [28] | [29] |
| E1 | 1.39 | 20.36 | — | 4.94 | — | 27.99 | 18.86 | E2 | 2.77 | 5.78 | 43.76 | 54.02 | 44.57 | 17.46 | 6.98 | E3 | 4.68 × 10−3 | 6.17 | 10.41 | 4.20 | 1.61 | 22.22 | 1.58 | E4 | 2.28 | 16.68 | 14.04 | 2.41 | 23.50 | 13.74 | 6.42 | E5 | 5.65 | 6.59 | 29.48 | 8.00 | 10.67 | 22.57 | 6.47 | E2+ E3+ E4+ E5 | 10.7 | 35.22 | 97.69 | 68.63 | 80.35 | 75.99 | 21.45 | E1+ E2+ E3+ E4+ E5 | 12.09 | 55.58 | — | 73.57 | — | 103.98 | 40.31 |
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