The Hierarchical Iterative Identification Algorithm for Multi-Input-Output-Error Systems with Autoregressive Noise

Table 3

The H-LSI parameter estimates and errors for Example 2.

1	0.00000	0.00000	0.55541	−0.78641	0.05229	−0.02811	0.59789	−0.92588	0.01269	34.42173
2	0.14148	−0.30660	0.55273	−0.70377	0.18346	−0.14142	0.60426	−0.82256	0.58395	21.10705
3	0.19132	−0.23272	0.55125	−0.67866	0.21589	−0.09534	0.60251	−0.80142	0.01985	19.82911
4	0.18954	−0.24197	0.55162	−0.67979	0.21649	−0.09730	0.60299	−0.80191	0.37416	5.32335
5	0.19059	−0.23897	0.55155	−0.67915	0.21666	−0.09655	0.60291	−0.80167	0.27810	1.93353
6	0.19032	−0.23977	0.55157	−0.67931	0.21662	−0.09670	0.60293	−0.80172	0.30098	1.11341
7	0.19039	−0.23956	0.55157	−0.67927	0.21663	−0.09667	0.60293	−0.80171	0.29514	1.17583
8	0.19037	−0.23961	0.55157	−0.67928	0.21662	−0.09668	0.60293	−0.80171	0.29664	1.14596
9	0.19038	−0.23960	0.55157	−0.67928	0.21662	−0.09667	0.60293	−0.80171	0.29625	1.15289
10	0.19038	−0.23960	0.55157	−0.67928	0.21662	−0.09668	0.60293	−0.80171	0.29635	1.15101
True values	0.18000	−0.25000	0.55000	−0.68000	0.22000	−0.10000	0.60000	−0.80000	0.30000