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

Table 1

The LSI parameter estimates and errors for Example 1.

1	−0.00174	0.00053	0.78866	−0.68631	0.00895	−0.00818	0.57027	0.61302	−0.00050	55.79849
2	0.35369	0.27184	0.78727	−0.40443	−0.17629	0.15694	0.55786	0.51059	0.27174	12.15009
3	0.35056	0.26746	0.78457	−0.40524	−0.19397	0.17507	0.56099	0.50495	0.38379	3.57156
4	0.35033	0.26820	0.78447	−0.40537	−0.18622	0.17255	0.56123	0.50724	0.38677	3.52725
5	0.35051	0.26838	0.78449	−0.40522	−0.18616	0.16982	0.56117	0.50718	0.38644	3.58654
6	0.35054	0.26843	0.78450	−0.40520	−0.18807	0.17162	0.56114	0.50618	0.38616	3.53048
7	0.35054	0.26839	0.78449	−0.40520	−0.18776	0.17156	0.56117	0.50634	0.38641	3.52131
8	0.35053	0.26838	0.78449	−0.40521	−0.18765	0.17141	0.56116	0.50639	0.38639	3.52730
9	0.35053	0.26839	0.78449	−0.40520	−0.18771	0.17145	0.56116	0.50636	0.38637	3.52652
10	0.35053	0.26839	0.78449	−0.40520	−0.18771	0.17146	0.56116	0.50636	0.38638	3.52588
True values	0.35000	0.27000	0.78000	−0.40000	−0.20000	0.18000	0.56000	0.50000	0.43000