Integral Formulation of QENDy for Robust Nonlinear System Identification
arXiv:2606.11629v15.5h-index: 28
Predicted impact top 73% in DS · last 90 daysOriginality Incremental advance
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For researchers in nonlinear system identification, this provides a noise-robust alternative to existing derivative-based methods.
The paper proposes an integral formulation of QENDy that avoids using time derivatives, making nonlinear system identification more robust to noise.
This manuscript proposes an integral formulation of the newly defined quadratic embedding method for identifying nonlinear systems (QENDy). In the original algorithm, trajectory data points along with their time derivatives are used. Methods for calculating time derivatives make the algorithm sensitive to noise. Our integral formulation does not use the time derivatives. This results in a more robust method to learn the dynamics.