C.-H. Tseng (Taiwan)
nonlinear system, system identification, multisine signal
In this paper, we propose a novel method for identification
of cubically nonlinear systems using random multisine sig
nals. The proposed method is based on analysis of higher
order auto-moment spectra of random multisine signals.
We show that, using properly designed random multisines
as driving signals, nonlinear systems can be identified with
a highly computationally efficient algorithm with ease. The
correctness of the analysis and the effectiveness of the de
rived algorithm are verified by domputer simulation.