Abstract: This work studies the problem of data-driven event-triggered control of continuous-time multiagent systems (MASs) with communication delays. A hybrid system approach is proposed to address ...
AI-powered platforms and smart assistants are transforming home improvement, from personalized DIY guidance and automated lighting to LG’s adaptive appliances and data-driven robot training. Competing ...
The future of driving is starting to look a lot less like driving and a lot more like living. That’s the big idea behind the new Saphir concept from Forvia. Forvia has sat quietly behind the scenes, ...
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 ...
Instinct alone is no longer enough. Leaders in HR are being called on to think and act like strategic operators—aligning talent, culture and compensation decisions directly to business outcomes. The ...
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.
A Dutch court has mandated an investigation into alleged mismanagement at Nexperia, while maintaining earlier interim measures that suspend its director and shift control of most shares to an ...
Every warfighting function depends on logistics, but sustainment has always faced a time-distance problem. Commanders maneuver in hours while logisticians plan in days. By the time a logistics ...
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.
A proposed rule from the Department of Energy would expand federal control over how large electricity users connect to the grid, with the goal of accelerating the construction of data centers and the ...