Model Predictive Control (MPC) is an advanced process control technique that uses mathematical models to predict and optimize industrial operations. Unlike traditional control methods, MPC continuously evaluates future system behavior and adjusts parameters accordingly.
Industries such as chemical processing, oil and gas, and manufacturing use MPC to enhance process stability, reduce energy consumption, and improve product quality. It enables real-time adjustments based on changing conditions, ensuring optimal performance and efficiency.
By integrating MPC with AI and industrial automation systems, companies can achieve smarter control strategies, enabling adaptive manufacturing, predictive maintenance, and energy-efficient operations.