A data-driven tracking control framework using physics-informed neural networks and deep reinforcement learning for dynamical systems. - Ruan Rezende Faria; Bruno Didier Olivier Capron; Argimiro R. Secchi; Maurício Bezerra de Souza Jr. (Eng. Appl. Artif. Intell., 2024)

A robust deep reinforcement learning approach for the control of crystallization processes. - José Rodrigues Torraca; Bruno Didier Olivier Capron; Argimiro Resende Secchi (Comput. Chem. Eng., 2025)