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 ...

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 ...

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

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, ...

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 ...

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 ...

Interactive configurators, real-time data access, RFQ automation, expert-guided product selection and error prevention are becoming standard online tool features ...

The idea of building a machine from isolated parts, each with its own setup and software, no longer fits how modern automation works.

Safety, reliability, and productivity in the nuclear industry result from a systematic consideration of human performance. A plant or other facility consists of both the engineered system and the ...