Automation aims to standardize industrial operations and bring overall efficiency to today’s production lines. Such gains, however, may come with considerable effort, as engineering teams must ...

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...

Interactive configurators, real-time data access, RFQ automation, expert-guided product selection and error prevention are ...

The benefits of using simulation early and often in the product development process are clear. You can verify requirements and begin studying and exploring design alternatives before prototyping and ...

Operational data such as torque, vibration, and temperature are vital for refining machine design and predicting failure modes. Feedback from real-world machines reduces over-engineering, cuts costs, ...

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 ...

As data speeds push into the multi-gigabit range and requirements on digital systems grow more complex, cutting down the time-to-market while also ensuring error-free reliable designs seems impossible ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...