Process control software typically follows a feedback loop. Sensors collect real-time data on various process parameters, which are then analyzed by the software. Based on this analysis, control actions are executed to adjust the process conditions. Advanced software may employ model predictive control and machine learning algorithms to predict future states and optimize control strategies.
