Advanced Process Control with MATLAB and Simulink
| Start Time | End Time |
|---|---|
| 2 Oct 2025, 11:00 AM EDT | 2 Oct 2025, 12:00 PM EDT |
Overview
In today's industrial landscape, traditional control methods often fall short in addressing the complexities and dynamic nature of modern production processes. Optimal control techniques offer a powerful solution by providing a systematic approach to designing advanced process control (APC) strategies that maximize production performance across multiple objectives while adhering to technical and regulatory constraints.
In this webinar, you will learn the fundamentals of optimal process control with a specific focus on model predictive control (MPC) and reinforcement learning (RL). Additionally, we will showcase how you can automatically convert your advanced controller designs into PLC code, enabling seamless deployment to industrial hardware. You will also hear real-world stories about MathWorks customers who successfully implemented such techniques in process-intensive industries such as petroleum, chemical processing, and manufacturing.
Highlights
- Representing complex processes using high-fidelity multi-physics models with Simscape
- Using a plant model to define an MPC controller with MPC Designer
- Interactively creating, tuning, and training an RL agent using Reinforcement Learning Designer
- Automatically generating PLC code from your advanced controllers for direct deployment to industrial systems
Who Should Attend
Chemical engineers, students, researchers or anyone interested in process control
About the Presenter
Jordan Olson is an Application Engineer at MathWorks specializing in artificial intelligence and advanced control design. Jordan supports customers across a wide range of industries, including aerospace, automotive, energy, and robotics. He holds a B.S. and M.S. in Mechanical Engineering, as well as an M.S. in Electrical Engineering, all from The University of Alabama.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
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