Clustering Input Signals Based Identification Algorithms for Two-Input Single-Output Models with Autoregressive Moving Average Noises

Table 2

The parameter estimates and their errors with recursive extended least squares algorithm .

100	−1.97138	0.97325	0.02176	−0.00685	−0.01218	−0.01610	0.92353	7.04138
150	−1.96158	0.96345	0.02130	−0.00742	−0.00651	−0.01719	0.91906	6.56978
200	−1.95615	0.95808	0.01742	−0.00688	−0.01251	−0.01483	0.92016	6.46977
500	−1.94216	0.94463	0.00934	−0.01135	−0.00631	−0.00587	0.78074	1.76871
1000	−1.93121	0.93351	0.00943	−0.01070	−0.00418	−0.00594	0.80766	1.39703
2000	−1.92860	0.93052	0.00833	−0.01224	0.00078	0.00175	0.79432	0.90644
3000	−1.92823	0.93035	0.00852	−0.01277	−0.00006	0.00204	0.79204	0.86239
True values	−1.91500	0.91740	0.01118	−0.01059	0.00021	0.00020	0.78720