Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling proactive monitoring, seamless system integration, and predictive analytics.

Abstract: The development of rigorous theoretical tools, such as feasibility and stability analysis, for finite-control-set model predictive control (FCS-MPC) of electric drives, has lagged behind ...

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...