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math.OC2025
On the Instability of Nesterov's ODE under Non-Conservative Vector Fields
Daniel E. Ochoa, Mahmoud Abdelgalil, Jorge I. Poveda
We study the instability properties of Nesterov's ODE in non-conservative settings, where the driving term is not necessarily the gradient of a potential function. While convergenc…
math.OC2025
Prescribed-Time and Hyperexponential Concurrent Learning with Partially Corrupted Datasets: A Hybrid Dynamical Systems Approach
Daniel E. Ochoa, Jorge I. Poveda
We introduce a class of concurrent learning (CL) algorithms designed to solve parameter estimation problems with convergence rates ranging from hyperexponential to prescribed-time…