Abstract: Data-enabled predictive control (DeePC) has garnered significant attention for its ability to achieve safe, data-driven optimal control without relying on explicit parametric models.
Abstract: This paper addresses the data-driven stabilization problem for a class of time-scale-type (TST) sampled-data networked control systems (NCSs) with unknown model parameters. A novel ...
Data centre could eventually expand to 120 MW Europe wants more control over critical tech infrastructure FRANKFURT, March 10 (Reuters) - German start-up Polarise plans to build a new 30-megawatt ...
As the founder of The Mad Botter, an automation and AI development company, Michael Dominick builds technology that aims to solve the problems most organizations don’t see until they slow everything ...
Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
The Centers for Disease Control and Prevention has historically been the pinnacle of U.S. public health. The agency has been a leading voice for evidence-backed health guidance and a sentinel for ...
Sometimes the AI conversation feels like it’s happening in two parallel universes. In one, people are using public AI tools like ChatGPT and Claude to write faster, summarize information and generate ...
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 ...
The disclosure underscores how recovery keys stored in Microsoft’s cloud can be accessed under warrant, even when enterprise data is encrypted. Microsoft gave Windows users’ BitLocker encryption keys ...
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