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20232025
most citedHybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis

27 citations · 48 across the 5 of their papers we have counts for

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eess.SY2025★ 6 cited

Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses

Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio Chanona +1

Efficient and robust bioprocess control is essential for maximizing performance and adaptability in advanced biotechnological systems. In this work, we present a reinforcement-lear…