Least-Squares-Based Iterative Identification Algorithm for Wiener Nonlinear Systems

Table 1

The parameter estimates (𝑎_𝑖,𝑏_𝑖,𝛾_𝑖) and their errors (𝜎²=0.10²).

𝑘	𝑎1	𝑎2	𝑏1	𝑏2	𝛾2	𝛾3	𝛿(%)
1	0.01390	0.05092	0.83611	0.74933	−0.08844	−0.00426	75.27308
2	−0.25018	0.48270	0.60412	0.32843	−0.23432	0.09158	29.18831
5	−0.19276	0.43981	0.58302	0.40929	−0.46012	0.25770	1.73908
10	−0.16452	0.43173	0.58218	0.42255	−0.45226	0.25192	2.37195
20	−0.17048	0.43263	0.58262	0.41964	−0.45268	0.25202	1.76755
30	−0.17101	0.43273	0.58265	0.41937	−0.45271	0.25203	1.71538
40	−0.17106	0.43273	0.58265	0.41935	−0.45271	0.25203	1.71092
50	−0.17106	0.43273	0.58265	0.41935	−0.45271	0.25203	1.71053
True values	−0.18100	0.44000	0.58300	0.40800	−0.45000	0.25000