3 papers
eess.SY2025
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Sebastián Espinel-RÃos, 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…
eess.SY2025
Enhancing reinforcement learning for population setpoint tracking in co-cultures
Sebastián Espinel-RÃos, Joyce Qiaoxi Mo, Dongda Zhang +2
Efficient multiple setpoint tracking can enable advanced biotechnological applications, such as maintaining desired population levels in co-cultures for optimal metabolic division…
q-bio.QM2024
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
Sebastián Espinel-RÃos, José Montaño López, José L. Avalos
This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and…