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 ...

Ruchi Patel specializes in industrial automation and control systems, focusing on PLC, SCADA, and material-handling ...

The Rockwell collaboration with Cytiva could mark a pivotal step in the mission to democratize digital manufacturing.

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 ...

Atal Bansal is the Founder and CEO at Chetu, a global U.S.-based custom software solutions and support services provider. For centuries, quality control inspection has been time-consuming and ...

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.

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

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 ...

Ahmedabad rolls out an AI-based traffic system at key junctions, using real-time data to reduce congestion, improve flow, and ...