To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

BMPC is a model-based reinforcement learning algorithm built on TD-MPC2’s world model, designed to enhance policy learning through expert iteration. BMPC leverages Model Predictive Control (MPC) to ...

Abstract: In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code generation of ...

Abstract: For safety-critical applications, the validation process using a model-based approach plays an increasingly important role. In this paper we propose the application of a predictive control ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

As organisations ramp up the use of AI coding agents in software development, they may find costs increase significantly if such tools are overused.

But also, cloud computing is for everyone, but not for every organisation’s IT budget where (for example) AI token usage ...

Owners of certain Honda Pilot SUVs and Ridgeline pickups face a serious safety risk: the rear subframe on their vehicles can ...

dIBTCI, Global Health Technical Assistance and Mission Support Project (GH-TAMS), Washington, DC, United States eUnited States Agency for International Development, Bureau of Global Health, Office of ...

Hyundai has unveiled the all-new eighth-generation Elantra, sold as the Avante in its home market of South Korea, at the 2026 ...

TL;DR Agentic lead generation structures replace legacy scraping workflows with automated intent-tracking and continuous ...