RECURSIVE IDENTIFICATION OF HAMMERSTEIN SYSTEMS WITH POLYNOMIAL NONLINEARITIES
The paper deals with recursive identification of nonlinear dynamic systems using
Hammerstein models with two-segment polynomial nonlinearities. A special form of
Hammerstein model is considered, which is linear-in-parameters. The proposed
algorithm is a direct application of the known recursive least squares method
supplemented with the estimation of internal variables.
Keywords: nonlinear systems, recursive identification, Hammerstein model, polynomial nonlinearity