FEG-Pro estimates finite-horizon forecast-error growth slopes from scalar time series via kNN multi-horizon forecasting as proxies for largest Lyapunov exponents, while extracting additional profile descriptors.
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Reconstructs a shadow attractor manifold from limited orbital debris time-series variables to model system dynamics and simulate policy effects.
citing papers explorer
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FEG-Pro: Forecast-Error Growth Profiling for Finite-Horizon Instability Analysis of Nonlinear Time Series
FEG-Pro estimates finite-horizon forecast-error growth slopes from scalar time series via kNN multi-horizon forecasting as proxies for largest Lyapunov exponents, while extracting additional profile descriptors.
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System Level Analysis and Management of Orbital Debris Using Empirical Dynamic Modeling
Reconstructs a shadow attractor manifold from limited orbital debris time-series variables to model system dynamics and simulate policy effects.