Research Article
Particle Swarm Optimization Iterative Identification Algorithm and Gradient Iterative Identification Algorithm for Wiener Systems with Colored Noise
Table 1
The GI estimates and errors (
).
| | | | | | | | | | (%) |
| 1 | 0.00000 | 0.00000 | 0.58390 | 0.68393 | 0.00000 | 0.00000 | −0.04169 | −0.02620 | 86.40246 | 5 | −0.02316 | 0.00425 | 0.61143 | 0.71531 | 0.02417 | 0.09941 | 0.13680 | −0.03462 | 80.62844 | 10 | −0.05236 | 0.01690 | 0.65537 | 0.75735 | 0.06610 | 0.28009 | 0.31492 | −0.05635 | 72.44222 | 50 | −0.19707 | 0.17193 | 0.77823 | 0.85545 | 0.55958 | 1.11096 | 0.34000 | −0.01365 | 31.03963 | 100 | −0.26799 | 0.23558 | 0.76378 | 0.81452 | 0.78248 | 1.08091 | 0.26414 | −0.03625 | 18.93492 | 500 | −0.40949 | 0.33611 | 0.75852 | 0.64487 | 0.96516 | 1.14748 | 0.20235 | −0.07345 | 2.45484 | 700 | −0.42263 | 0.34486 | 0.75695 | 0.62722 | 0.98006 | 1.16077 | 0.20205 | −0.07432 | 1.59965 | True values | −0.43000 | 0.35000 | 0.76000 | 0.62000 | 0.98000 | 1.15000 | 0.20000 | −0.10000 | 0.00000 |
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