An Introduction to the Use of MATLAB in the Design and Simulation of Advanced Process Control Systems

Webinar details

MATLAB process control provides engineers with tools to design, model and simulate advanced control systems before they are applied in practice.

This webinar explores the principles of Advanced Process Control (APC) and Model Predictive Control (MPC), providing attendees with a practical understanding of how modern control strategies are used to optimise industrial processes. Beginning with the fundamentals of process control, the session explains the limitations of traditional PID control before introducing advanced control techniques, including process modelling, system identification and Model Predictive Control.

Attendees will also see how process models can be developed from plant data and how MATLAB can be used to simulate and implement MPC strategies in real-world engineering applications. Throughout the webinar, practical examples and demonstrations illustrate how advanced process control can improve process performance, stability and operational efficiency.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

Key takeaways from this webinar:

• Gain a solid understanding of process control fundamentals, including open-loop and closed-loop control systems, process variables, manipulated variables and the role of sensors, controllers and final control elements.
• Learn the principles of Advanced Process Control and Model Predictive Control (MPC), including why MPC offers significant advantages over traditional PID control for complex, multivariable industrial processes.
• Discover how process models are developed using real plant data through system identification techniques and see how MATLAB can be used to model, simulate and evaluate Model Predictive Control strategies before deployment.

• Date: Wednesday 7th October 2026
• Time: 12:00 PM – 1:00 PM UTC
• Location: Online Session

Meet the Presenter

Dr. Hadi Harb, EIT Lecturer

Dr Hadi Harb has more than 20 years of experience in the development and management of Artificial Intelligence and Audio Signal Processing projects.

Hadi holds a MEng (2000) in electrical-electronic engineering. He earned his MSc in 2001 and PhD in 2004, both in computer science, from the Institut National des Sciences Appliquées (INSA) Lyon and the École Centrale de Lyon, respectively.

In 2005, he co-founded and managed Ghanni, a company specializing in multimedia content recommendation and identification. His focus is on the application of AI techniques to solve real-world problems.

Hadi teaches units within EIT’s Professional Certificates of Competency, Advanced Diplomas and Master of Engineering degrees.

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About the Engineering College of Technology (ECT)

ECT is a UK-registered higher education provider affiliated with the Australian-based Engineering Institute of Technology (EIT). We offer industry-relevant engineering qualifications powered by interactive online platforms, remote labs, and expert instructors from around the world. Registered with the Office for Students (OfS) – UKPRN: 10089771 Member of the Quality Assurance Agency for Higher Education (QAA)