Taking the shock out of predicting shock wave behavior with precise computational modeling

Shock waves should not be shocking—engineers across scientific fields need to be able to precisely predict how the instant and strong pressure changes initiate and dissipate to prevent damage. Now, ...

Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
IEEE

Sampled-Data Consensus for Multiagent Systems With Open Topology and Packet Loss

Abstract: This article studies a more realistic issue in multiagent systems (MASs) named open topology, where the network scale tends to be variable as agents may join, leave, or be replaced. In order ...
IEEE

Designing Iterative Learning Schemes for Cooperative-Antagonistic Systems With Random Access Communication Protocols

Abstract: In this article, the design issue for an iterative learning controller is investigated for the cooperative-antagonistic system under the scheduling effects of random access protocol (RAP).