Multi-Innovation Stochastic Gradient Parameter and State Estimation Algorithm for Dual-Rate State-Space Systems with -Step Time Delay

Table 5

The parameter estimates and errors with .

Algorithms
SG (MISG, )	100	−0.01550	−0.15470	0.04028	−0.06265	0.02094	−0.01630	0.52050	−0.34565	49.20737
	200	−0.00846	−0.16114	0.03142	−0.05900	0.02910	−0.02302	0.53817	−0.38165	46.04580
	500	−0.02283	−0.16425	0.04190	−0.07513	0.04531	−0.03215	0.57022	−0.42744	41.04400
	1000	−0.02246	−0.16947	0.04135	−0.07521	0.05323	−0.03429	0.58828	−0.45950	38.05525
	2000	−0.02481	−0.17522	0.04532	−0.07876	0.06177	−0.03769	0.60570	−0.48594	35.31488
	3000	−0.02492	−0.17967	0.04580	−0.08054	0.06861	−0.04099	0.61533	−0.50079	33.76525
MISG,	100	−0.00070	−0.09901	0.08115	−0.11549	0.07387	−0.05378	0.68241	−0.51521	30.88244
	200	0.01133	−0.11098	0.06966	−0.10975	0.08403	−0.06043	0.69602	−0.56265	27.17174
	500	0.00040	−0.12474	0.08572	−0.12822	0.10703	−0.07177	0.72361	−0.60977	22.19946
	1000	0.00665	−0.13482	0.08321	−0.12254	0.11560	−0.07075	0.73290	−0.64205	19.67043
	2000	0.00802	−0.14527	0.08971	−0.12475	0.12278	−0.07232	0.74507	−0.66653	17.34685
	3000	0.00917	−0.15233	0.09273	−0.12666	0.12873	−0.07427	0.75100	−0.67898	16.12797
MISG,	100	−0.02959	−0.13914	0.19948	−0.01531	0.08421	−0.15341	0.76481	−0.73279	12.99066
	200	−0.01861	−0.15341	0.18733	−0.01475	0.09415	−0.14951	0.76310	−0.78040	10.55685
	500	−0.02916	−0.17950	0.20785	−0.04599	0.13403	−0.16618	0.79390	−0.78371	6.83573
	1000	−0.01718	−0.18774	0.19516	−0.03222	0.14082	−0.15378	0.78631	−0.79542	6.02358
	2000	−0.01503	−0.19804	0.20265	−0.03826	0.14446	−0.14983	0.79412	−0.79944	5.03453
	3000	−0.01509	−0.20501	0.20834	−0.04462	0.14803	−0.14864	0.79741	−0.80005	4.46176
True values		−0.01000	−0.22000	0.19000	−0.08000	0.16000	−0.12000	0.80000	−0.80000