In this workshop, you will learn the fundamentals of optimal process control through hands-on exercises in MATLAB and Simulink, with a specific focus on model predictive control (MPC) and reinforcement learning (RL). You will also hear real-world stories about MathWorks customers who successfully …

Advanced Process Control with MATLAB and Simulink Jordan Olson Application Engineer, Advanced Controls MathWorks jolson@mathworks.com © 2025 The MathWorks, Inc. 1 2 Agenda ▪ Process Optimization and Control ▪ ▪ ▪ ▪ Model Predictive Control (MPC) ▪ ▪ ▪ Model-based design Challenges with …

Explore powerful techniques in advanced process control and modelling. Learn how to design and implement control strategies for dynamic, multivariable industrial systems using MATLAB’s Simulink. You’ll also get hands-on with tools for data analysis, empirical modelling, and process optimization to …

MATLAB Simulink is a graphical modeling and simulation environment that is widely used in industry and academia for designing, simulating, and analyzing complex systems. Simulink is particularly useful for process control and dynamics, as it allows users to model and simulate complex systems …

The Master thesis was written at the department of the Electrical Engineering, Mathematics, and science at the University of Gavle in Gavle city, Sweden. I would rst like to thank my supervisor, Niclas Bjorsell, whose interesting problem-solving approaches have helped me immensely. Special thanks …

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required, students are led through several introductory topics that develop an understanding of numerical methods in …