Detection of Feedback Control Through Optimization in the Cyber Physical System Through Big Data Analysis and Fuzzy Logic System

Abstract

This research article presents a new approach for addressing the issue of packet loss and slow response in robot control cyber-physical systems (CPS). The integration of computer units and physical devices in CPS for robot control can lead to interaction between services that results in packet loss and slow response. To solve this problem, the study focuses on CPS task scheduling. A two-level fuzzy feedback scheduling scheme is proposed to adapt task priority and period based on the combined effects of response time and packet loss. This approach modifies task scheduling by identifying patterns and variations in data that indicate the presence of feedback control. The proposed method is evaluated using empirical data, which demonstrates the feasibility of the fuzzy feedback scheduling technique and support the rationality of the CPS architecture for robot control. This research highlights the importance of effective task scheduling in CPS for robot control and the potential of fuzzy feedback scheduling to improve system performance and stability under uncertainty.