Guest editorial: Resilient fuzzy control synthesis of non‐linear networked systems against various cyber‐attacks
Xiangpeng Xie, Tae-Hee Lee, Jianwei Xia, Reinaldo M. Palhares, Anh‐Tu Nguyen · IET Control Theory and Applications · 2024
Resilient fuzzy control synthesis of non-linear networked systems against various cyber-attacksIn recent years, there has been a growing interest in non-linear networked systems.They have a wide range of applications, many of which are security-critical.This has triggered a great deal of interest in non-linear network systems where attacks exist, bringing the issue of network security into control theory.Fuzzy control theory transforms the handling of non-linear network systems under attack, addressing security issues like spoofing and DoS attacks.It enhances resource utilization efficiency through resilient triggering mechanisms suited for frequency/duration-limited attacks.As a rule-based approach using linguistic control rules, it operates on potentially erroneous data without needing an exact mathematical model, simplifying design and application.This special issue focuses on research ideas, articles, and experimental studies related to "Resilient fuzzy control synthesis of non-linear networked systems against various cyber-attacks" in order to learn, analyse, and predict the application of fuzzy control theory in non-linear networked systems against cyber-attacks by deep learning.In this special issue, the final 17 accepted papers have been peer-reviewed.These papers can be categorized into three main groups, and the following is a brief description of each paper in this special issue.