Data-driven control of nonlinear dynamic systems has emerged as a transformative paradigm in control engineering, leveraging empirical data rather than detailed first-principles models. By embedding ...

Modern industrial systems are becoming increasingly complex due to cloud-native architectures and distributed services. Let's ...

Learn how systems engineering is shifting from document-centric practices to model-based, data-driven approaches that reduce ...

WASHINGTON — The Army is undergoing a significant transformation, shifting its focus to a data-centric approach to ensure warfighting superiority in future conflicts, said Lt. Gen. Jeth Rey, deputy ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

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 ...