Gradient‐based and least‐squares‐based iterative algorithms for Hammerstein systems using the hierarchical identification principle

Abstract

This study derives a least‐squares‐based iterative algorithm and a gradient‐based iterative algorithm for Hammerstein systems using the decomposition‐based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accuracies and the least‐squares‐based iterative algorithm has faster convergence rates than the gradient‐based iterative algorithm.