A survey on privacy-preserving control and filtering of networked control systems
Wei Wang, Lifeng Ma, Qiangqiang Rui, Chen Gao
Abstract
With the increasing utilisation of information technology and artificial intelligence in practical control systems, particularly in large-scale distributed networked systems, growing concerns have arisen regarding the potential disclosure of individuals' sensitive information to adversaries. Consequently, safeguarding privacy security against the rapidly increasing risk of privacy leakages has become a top priority in modern control systems. This survey aims to offer a comprehensive review of privacy-preserving control and filtering problems in networked control system. First, we review some basic introductions to the privacy-preserving mechanisms from the perspective of control community. Then, we present recent advancements in the design of privacy-preserving strategies for various control and filtering problems. Moreover, several possible future research topics are outlined on the privacy-preserving issue of control systems.