RECURSIVE IDENTIFICATION OF NONLINEAR SYSTEMS USING HAMMERSTEIN MODELS WITH POLYNOMIAL NONLINEARITIES

VÖRÖS, J.

Abstract

The paper deals with the recursive identification of nonlinear dynamic systems using Hammerstein models with polynomial nonlinearities. Special forms of Hammerstein models are considered, which are linear in parameters. The proposed algorithm is a direct application of the known recursive least squares method supplemented with the estimation of internal variables.

Coresponding author e-mail: jvoros[at]elf[dot]stuba[dot]sk

Session: Modelling, Simulation, and Identification of Processes