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