Novel identification algorithms for Hammerstein systems in ill-conditioned situations

Figures & data

Figure 1. The H-CARMA system.

Figure 2. The flowchart of the Recursive Least Square for Ill-Conditioned situation algorithm for computing ${\hat{\theta }}_k$.

Figure 3. The RLS-SVD estimation errors δ versus $k$.

Figure 4. The SG-IC estimation errors δ versus k (the output of the nonlinear block can be measured).

Figure 5. The SG-IC algorithm estimation errors δ versus k (the output of the nonlinear block cannot be measured).

Figure 6. The RLS-IC and MISG-IC estimation errors δ versus k (the output of the nonlinear block cannot be measured).