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math.OC2021★ 8 cited
Accelerating Optimal Experimental Design for Robust Synchronization of Uncertain Kuramoto Oscillator Model Using Machine Learning
Hyun-Myung Woo, Youngjoon Hong, Bongsuk Kwon +1
Recent advances in objective-based uncertainty quantification (objective-UQ) have shown that such a goal-driven approach for quantifying model uncertainty is extremely useful in re…
math.OC2020★ 11 cited
Optimal Experimental Design for Uncertain Systems Based on Coupled Differential Equations
Youngjoon Hong, Bongsuk Kwon, Byung-Jun Yoon
We consider the optimal experimental design problem for an uncertain Kuramoto model, which consists of N interacting oscillators described by coupled ordinary differential equation…