Hierarchical gradient- and least squares-based iterative algorithms for input nonlinear output-error systems using the key term separation

This paper considers the parameter identification problems of input nonlinear output-error (IN-OE) systems, that is Hammerstein systems. In order to overcome excessive calculation amount over-parameterization method IN-OE Through applying hierarchial principle and decomposing system into three subsystems with a smaller number parameters, we present key term separation auxiliary model hierarchical gradient-based iterative algorithm least squares-based algorithm, which are called three-stage algorithm. The comparison simulation analysis indicate proposed algorithms effective. (c) 2021 Franklin Institute. Published by Elsevier Ltd. All rights reserved.