Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
For years, social media giants controlled what users saw in their feeds. While people could follow accounts, like posts or hide content they didn’t enjoy, recommendation algorithms controlled what was ...
Abstract: In this work, we propose a continuous-time distributed optimization algorithm with guaranteed zero coupling constraint violation and apply it to safe distributed control in the presence of ...