In the modelic control paradigm, the first step is to establish a dynamic model through system identification. This model offers a continuous but inaccurate description of state transition information ...

The future of automation and artificial intelligence in warfare begins with structured, interoperable data. As a staff officer, the greatest obstacle I’ve observed to achieving truly data-driven ...

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 ...

WASHINGTON, Nov 20 (Reuters) - The Federal Aviation Administration said on Thursday it wants to adopt a new comprehensive system to overhaul how air traffic controllers receive flight data and move ...

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

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

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.

While sitting in urban traffic for hours, drivers may daydream about launching into the air and soaring above the congestion. Associate Professor Zhenbo Wang, of the Department of Mechanical, ...

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 ...