Two-Timescale Reinforcement Learning for Real-Time Optimization and Economic NMPC: Experimental Validation

We propose a reinforcement learning (RL) framework that tunes both Real-Time Optimization (RTO) and Economic Nonlinear Model Predictive Control (ENMPC) to address plant--model mismatch in process systems. Drawing on modifier-adaptation concepts, the method parameterizes the dynamic model, stage cost