Model Predictive Control In The Process Industry A Practical Real World Hands On Guide For Process Engineers Covering MPC Design, Optimization, Robustness, Digital Twins, And Real Time Automation In Chemical, Petrochemical, And Manufacturing Plants

Practical Model Predictive Control for process industries
✔️ Hands-on MPC design, robustness, and real-time automation guide

This English-language guide by Carlos A. Bordons, published in 2012, covers practical MPC methods for chemical, petrochemical, and manufacturing plants.

✅ Author: Carlos A. Bordons
✅ Release date: 06-12-2012
✅ Language: English
✅ Focus: MPC design, optimization, robustness, digital twins, and real-time automation

💡 What is a Model Predictive Control strategy used for in the process industry?

Used to optimize operations by forecasting future states and respecting process limits.

• predicts future plant behavior to optimize control actions
• handles constraints on inputs, outputs, and safety limits
• integrates with digital twins and real-time automation

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