Abstract: This article investigates the optimal distributed formation control for heterogeneous air–ground vehicle systems using a data-efficient, off-policy reinforcement learning algorithm.

Abstract: While data-driven methods have gained prominence in wind turbine fault diagnosis, their effectiveness is increasingly constrained by the proliferation of data silos. This phenomenon ...

Efficient generation and reliable distribution of quantum entangled states is crucial for emerging quantum applications, including quantum key distribution (QKDs). However, conventional ...