Reinforcement Learning for Adaptive Sampling: Managing Network Resources in Cloud-Based Cyber-Physical Systems

• Published in: Proceedings of IEEE Southeastcon pp. 1136 - 1141
• Main Authors: Nazrul, Samiha, Rahman, Mohammad, Wu, Fan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.03.2025
• Subjects: Adaptive Control; Cloud-based Cyber-Physical Systems (CBCPS); Cyber-physical systems; Network Congestion Management; Networked Control Systems (NCS); Optimization; Reinforcement learning; Reinforcement Learning (RL); Resource management; Steady-state; System performance; Testing; Trajectory; Transient analysis; Velocity control

This paper presents a novel approach to optimizing sampling frequency in cloud-based cyber-physical systems (CPS) using reinforcement learning (RL). We address the critical challenge of balancing control performance with network resource utilization in scenarios where the controller is deployed in t...