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Abstract

The behavior prediction of non-linear dynamic system is a challenging problem, especially when the system includes many independent subsystems. The observations from the complex dynamic system are the result of the interaction of multiple dynamic subsystems, which results in a loss of predictability. In this paper, signal separation technique is adopted to separate the observations of complex non-linear dynamic system in order to improve its predictability. And then local support vector regression technique is used to model the separated observations and make prediction. Finally, the prediction results are remixed as the original observation prediction or the behavior prediction of the complex non-linear dynamic system. The experimental results show that the proposed method improves the prediction accuracy substantially, which proves that signal separation can improve the predictability of complex non-linear dynamic system.

Keywords

Non-linear dynamic system signal separation support vector regression

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