Reinforcement Learning-based Constant Flux Control of Membrane Filtration Process
Submerged membrane bioreactor (SMBR) systems offer high treatment efficiency and compact operation, but nonlinear dynamics and time-varying membrane fouling make constant-flux regulation challenging. This study develops and evaluates three reinforcement-learning controllers—a deep Q-network (DQN), deep deterministic po...