Deep Learning-Based Construction of Koopman Observable Functions for Power System Nonlinear Dynamics
Abstract: The non-linearity of the power system dynamic model results in unavoidable systemic errors when employing model-based local linear approximation methods for system dynamic analysis. The ...
Abstract: Imitation learning is increasingly utilized to improve driving performance using real-world data, yet ensuring the safety of its outputs remains a fundamental challenge. While differentiable ...
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