Using Reinforcement Learning (RL) to maintain coherence between multiple control systems
Wed May 13, 2026 at 3:45 pm
Session 11: Advanced Process Control 1
This paper outlines an approach that uses AI and machine learning—specifically reinforcement learning—to keep two connected control systems aligned. Rather than relying on multiple rule-based or heuristic methods, we train a model to choose the best setting for shared tuning parameters in real time. This can support tighter process control, faster fault detection and correction, and ultimately higher production yields.