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

Table 4

The parameter estimates and errors with .

Algorithms
SG (MISG, )	100	−0.00912	−0.15036	0.04307	−0.06630	0.02505	−0.01004	0.49833	−0.38674	47.52683
	200	−0.00071	−0.15897	0.03430	−0.06226	0.03583	−0.01874	0.51905	−0.41671	44.53744
	500	−0.01158	−0.16218	0.04174	−0.07458	0.04926	−0.02578	0.55028	−0.45958	39.90966
	1000	−0.01300	−0.16742	0.04407	−0.07779	0.05693	−0.02935	0.57120	−0.48809	36.94100
	2000	−0.01608	−0.17243	0.04797	−0.08160	0.06551	−0.03294	0.58943	−0.51204	34.32511
	3000	−0.01644	−0.17616	0.04817	−0.08312	0.07199	−0.03621	0.59949	−0.52557	32.86166
MISG,	100	0.00359	−0.10678	0.07097	−0.11681	0.07671	−0.04656	0.66219	−0.54089	29.99962
	200	0.01599	−0.12109	0.06185	−0.11177	0.09003	−0.05590	0.68106	−0.57759	26.68912
	500	0.00850	−0.13309	0.07485	−0.12515	0.10632	−0.06220	0.70645	−0.62350	22.16532
	1000	0.01018	−0.14260	0.07880	−0.12629	0.11409	−0.06384	0.72115	−0.65182	19.62474
	2000	0.00966	−0.15129	0.08537	−0.12916	0.12141	−0.06584	0.73406	−0.67410	17.47593
	3000	0.01029	−0.15688	0.08764	−0.13042	0.12688	−0.06787	0.74038	−0.68567	16.37969
MISG,	100	−0.01604	−0.16063	0.16648	−0.04942	0.12274	−0.11018	0.77804	−0.72833	9.28037
	200	−0.00941	−0.17261	0.16361	−0.05183	0.13136	−0.11273	0.78161	−0.75681	6.94835
	500	−0.01370	−0.18867	0.17725	−0.06884	0.14888	−0.11953	0.79311	−0.77446	3.86359
	1000	−0.00956	−0.19552	0.17681	−0.06720	0.15297	−0.11685	0.79300	−0.78499	3.00103
	2000	−0.00865	−0.20173	0.18160	−0.07054	0.15557	−0.11647	0.79656	−0.79077	2.10426
	3000	−0.00843	−0.20539	0.18430	−0.07311	0.15762	−0.11675	0.79793	−0.79282	1.61476
True values		−0.01000	−0.22000	0.19000	−0.08000	0.16000	−0.12000	0.80000	−0.80000