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

Table 3

The F-GI parameter estimates and errors ().

	1000	0.65477	0.60673	0.46466	0.31824	−0.31710	1.02689	0.38857	−0.39418	−0.56441	3.58655
	2000	0.65417	0.60725	0.45998	0.33691	−0.31269	1.01824	0.37904	−0.40396	−0.58332	1.98657
	1000	0.65706	0.60351	0.48224	0.27468	−0.31970	1.02832	0.39775	−0.37791	−0.56279	5.95620
	2000	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