L3Harris' IPMS will boost integrated monitoring and control of ship propulsion, electrical functions, auxiliaries and damage ...

Allen Control Systems, a four-year-old startup building an autonomous weapons station that can shoot down drones, is aiming ...

Abstract: This article investigates the data-driven control problem of linear time-invariant (LTI) multi-input systems under aperiodic sampling, where the input of the system is determined by the ...

Learn why deterministic PLC logic remains essential in smart manufacturing, and how context-aware AI can enhance, not replace, human operators' critical decisions. PLCs remain the foundation of ...

Engineers are increasingly merging AI techniques with fuzzy logic to create adaptive, explainable, and reliable control systems. From robotics to renewable energy, hybrid architectures combine ...

Python and MATLAB remain two of the most important tools in scientific computing, each with unique strengths. Python’s open-source ecosystem has caught up in speed and versatility, while MATLAB ...

The global transition toward smart, resilient and sustainable energy systems demands advanced planning and operational intelligence. One of the most promising technological enablers in this ...

Last week, as New Scientist reported that leading A.I. models kept recommending nuclear strikes during war-game exercises, the Department of War tried to strong-arm Anthropic, its leading A.I. vendor, ...

Abstract: Data-driven control is a powerful tool that enables the design and implementation of control strategies directly from data without explicitly identifying the underlying system dynamics.

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.