Mechanism-driven reinforcement learning for ultrafiltration scheduling: From event triggering to proactive cycle orchestration
Ultrafiltration systems are significantly affected by dynamic evolution of membrane fouling during long-term operation, exhibiting highly nonlinear operational behaviors and intricate control coupling. To overcome the constraints encountered by conventional control strategies in industrial applications, including respo...