Identify and address the critical questions that consistently impact automation project outcomes across diverse industries like food processing, pharmaceuticals and transportation. Learn technical ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

AI- and cloud-based engineering tools accelerate control system modernization efforts. Artificial intelligence (AI) and machine learning (ML) technologies are having a moment right now, and many ...

Use individual and team exercises to build skills for a dynamic systems approach. Engineered systems increasingly must exploit complex interactions between multiple domains—mechanical, electrical, ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

Automating the factory floor is a growing trend across the industrial space. It’s not hard to understand why, since such applications help improve efficiency and production rates. To create the ...

The department Aeroelastic Control Systems researches novel functions and algorithms, as well as new underlying methods for control design and verification. Examples include functions to reduce gusts ...