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 ...

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

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price-consciousness, combined with demands for ...

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 ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

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.

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

Modern warfare demands seamless coordination and interoperability among multinational forces for effective partnerships. Logistics, often referred to as the lifeblood of military operations, is a ...

The convergence of AI‑driven demand and widespread electrification is redefining what the grid must do and how it must operate.

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration - ...

Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...