Identification of Nonlinear Systems Driven by Random Multisine Signals

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.

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