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Chemical Engineering Applications

Design and simulate model predictive controllers for automated driving

Model predictive control (MPC) has long been used in chemical engineering applications to optimize the operation of chemical plants while ensuring they remain within specified conditions. Due to its ability to directly handle constraints in multivariable systems, MPC is particularly suitable to handle complex chemical processes for which traditional control methods might struggle. You can use MPC to control a wide range of production systems, ensuring their safety, productivity, energy efficiency, and cost effectiveness.

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Control CSTR Plant with Linear MPC

Control CSTR Plant with Adaptive, Gain-Scheduled and Nonlinear MPC

Linear MPC for Chemical Engineering Applications

Nonlinear MPC Control for Chemical Engineering Applications

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