Reinforcement learning (RL) algorithms find applications in inventory control, recommender
systems, vehicular traffic management, cloud computing, and robotics. The real-world …

摘要信息物理系统(Cyber-physical system, CPS) 将计算, 通信与控制技术紧密结合,
实现了计算资源与物理资源的结合与协调. CPS 是当前自动化领域的前沿研究方向 …

Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Cyber-physical systems integrate computing, network and physical environments to make
the systems more efficient and cooperative, and have important and extensive application …

The conditions for a feasible Cyber‐Physical System (CPS) in a welding environment are
explored for the manufacturing technology components while also focusing on machine …

Due to their mobility, real-time requirements, energy limitations, and safety considerations,
the complexities involved in Mobile Cyber-Physical Systems (MCPSs) surpass those of …

In this study, the authors investigate the secondary control of microgrids (MGs) in the
presence of cyber imperfections such as delay and/or noise, and system disturbances. The …

This paper introduces the Gravity compiler. Gravity is an open source optimizing Artificial
Neural Network (ANN) to ANSI C compiler with two unique design features that make it ideal …

Cyber-Physical Systems (CPSs), a class of complex intelligent systems, are considered the
backbone of Industry 4.0. They aim to achieve large-scale, networked control of dynamical …