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 ...

Vehicle monitoring systems evolved from basic diagnostics to GPS and telematics, enabling real-time vehicle tracking, safety ...

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 ...

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.

Using patent intelligence data from the FounderNest platform, alongside funding, partnership, and deployment signals across ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

Transform concrete operations with real-time strength monitoring. Data-driven contractors gain schedule control, cut material waste, and improve project margins significantly.

Ukraine has deployed a unified digital drone management system, Mission Control, within the DELTA ecosystem in just two ...

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 ...