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

Table 2

The F-GI parameter estimates and errors ().

	1	0.14346	0.09808	0.01067	0.00762	0.00511	0.08406	0.01113	−0.00704	−0.27896	86.56006
	10	0.39890	0.32288	0.22390	0.15247	−0.01745	0.27349	0.21267	−0.15857	−0.68297	57.02995
	50	0.63521	0.59550	0.44755	0.31132	−0.21207	0.82865	0.34932	−0.32757	−0.77919	16.41676
	200	0.65416	0.60726	0.45998	0.33687	−0.31265	1.01818	0.37903	−0.40383	−0.58336	1.98279
	500	0.65417	0.60725	0.45998	0.33691	−0.31269	1.01824	0.37904	−0.40396	−0.58332	1.98657
	1	0.14560	0.09899	0.00315	0.00157	0.00466	0.08794	0.00329	−0.00156	−0.28174	86.73735
	10	0.51092	0.41373	0.17192	0.06708	−0.05673	0.42188	0.14417	−0.12991	−0.91458	53.92889
	50	0.64851	0.60875	0.38838	0.20796	−0.28513	0.96729	0.30507	−0.28172	−0.62099	12.59343
	200	0.65613	0.60516	0.46036	0.30206	−0.31371	1.01919	0.36807	−0.38499	−0.58216	3.60147
	500	0.65684	0.60452	0.47158	0.31970	−0.31423	1.02001	0.37658	−0.40343	−0.58126	2.91324
True values		0.65000	0.60000	0.45000	0.35000	−0.30000	1.00000	0.38000	−0.40000	−0.60000