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 ...

Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models, this ...

The automotive industry continues to be a hotbed of innovation, with activity driven by the need for better customer experience, interest in personalised vehicle information and growing importance of ...

The automotive industry continues to be a hotbed of innovation. Activity is driven by major automotive original equipment manufacturers (OEMs) working towards the development of software to create an ...

The car industry is evolving with the integration of agentic artificial intelligence (AI) in intelligent vehicles, revolutionizing the car manufacturing process through data-driven design and ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Decisions are the lifeblood of business. From the c-suite to frontline employees, decisions are constantly being made at all levels within organizations. Some are consequential and irreversible, but ...