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

Table 2

The H-LSI parameter estimates and errors for Example 1.

1	−0.00165	0.00045	0.78903	−0.68649	0.00000	0.00000	0.57043	0.61368	0.04854	53.42619
2	0.33787	0.25774	0.78598	−0.41664	−0.17740	0.16201	0.56029	0.50972	0.22291	15.77773
3	0.35202	0.26929	0.78458	−0.40359	−0.18973	0.17231	0.56283	0.50476	0.39352	2.96102
4	0.35065	0.26837	0.78458	−0.40503	−0.18892	0.17175	0.56297	0.50464	0.44493	1.66301
5	0.35054	0.26835	0.78458	−0.40512	−0.18923	0.17183	0.56296	0.50444	0.44660	1.73488
6	0.35052	0.26832	0.78458	−0.40514	−0.18926	0.17188	0.56296	0.50442	0.44567	1.68306
7	0.35053	0.26833	0.78457	−0.40514	−0.18926	0.17187	0.56296	0.50443	0.44578	1.68902
8	0.35052	0.26833	0.78457	−0.40514	−0.18926	0.17187	0.56296	0.50443	0.44578	1.68914
9	0.35052	0.26833	0.78457	−0.40514	−0.18926	0.17187	0.56296	0.50443	0.44578	1.68894
10	0.35052	0.26833	0.78457	−0.40514	−0.18926	0.17187	0.56296	0.50443	0.44578	1.68898
True values	0.35000	0.27000	0.78000	−0.40000	−0.20000	0.18000	0.56000	0.50000	0.43000