A multi-stage least squares method for identifying Hammerstein model nonlinear systems

1 December 1976

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 934-938
https://doi.org/10.1109/cdc.1976.267860

Abstract

This paper considers the parameter identification of nonlinear systems using Hammerstein model and in the presence of correlated output noise. Existing identification methods are all iterative. The proposed method, called MSLS, is a noniterative four-stage least square solution procedure. Therefore, it is computationally simpler. The estimates so obtained are statistically consistent. Two examples are included to demonstrate the utility of this method.

Keywords

LEAST SQUARES METHODS
NONLINEAR SYSTEMS
ITERATIVE METHODS
CONVERGENCE
COMPUTER SIMULATION
GAIN
RANDOM SEQUENCES

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