Adaptive Gradient-Based Iterative Algorithm for Multivariable Controlled Autoregressive Moving Average Systems Using the Data Filtering Technique

Table 1

The F-GI parameter estimates and errors ().

	1	0.14294	0.09843	0.00868	0.00915	0.00296	0.08637	0.00937	−0.00661	−0.27864	86.50364
	10	0.42310	0.34081	0.15604	0.12072	−0.02498	0.29864	0.20824	−0.15361	−0.70856	56.91872
	50	0.63701	0.59049	0.44414	0.30015	−0.21622	0.83432	0.36331	−0.32901	−0.77686	16.06327
	200	0.65476	0.60674	0.46465	0.31821	−0.31707	1.02684	0.38855	−0.39407	−0.56444	3.58517
	500	0.65477	0.60673	0.46466	0.31824	−0.31710	1.02689	0.38857	−0.39418	−0.56441	3.58655
	1	0.14514	0.09935	0.00228	0.00199	0.00410	0.08912	0.00243	−0.00127	−0.28184	86.71589
	10	0.52198	0.41436	0.13005	0.04549	−0.05221	0.40777	0.16182	−0.15682	−0.91038	54.85474
	50	0.65005	0.60460	0.37591	0.17468	−0.29039	0.97368	0.33485	−0.29105	−0.60764	13.34916
	200	0.65652	0.60385	0.46751	0.25681	−0.31942	1.02762	0.38992	−0.36323	−0.56348	6.73257
	500	0.65706	0.60351	0.48224	0.27468	−0.31970	1.02832	0.39775	−0.37791	−0.56279	5.95620
True values		0.65000	0.60000	0.45000	0.35000	−0.30000	1.00000	0.38000	−0.40000	−0.60000