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 ...

Goldman Sachs Research projects U.S. data centers will consume ~8% of national electricity by 2030, up from ~3% in 2022.

During Machine Design’s Motion Systems Takeover Week (Oct. 20–24, 2025), we explored how the fusion of mechanical motion and data-driven control is reshaping high-precision applications across ...

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 ...

Plug-and-play controller platform provides adaptive energy management, simplifies scalability, enables tailored configurations, and supports rapid, low-disruption upgrades. The controller is designed ...

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.

You often hear entrepreneurs say, “We don’t know what we don’t know,” when talking about deficiencies in data gathering. But when you have data in silos, it’s more a case of “We don’t know what we DO ...