Privacy Preservation Control for Distributed Networked Systems With Optimal Trigger Policy

Distributed networked systems (DNSs) contain numerous data interactions, which leads to a heavy communication burden and potential privacy leakage. To overcome these concerns, the optimal control and trigger policies are designed and a cryptography-based privacy-preserving scheme is proposed in this article. First, the framework of DNSs is developed, which includes the physical layer, cloud layer, and eavesdroppers. Then, the optimal control and trigger policies are learned, and the optimality of policies and stability of systems are proved. Further, privacy-preserving implementations are established to approximate the optimal control and trigger policies and to protect the privacy of physical entities from unauthorized participants. Finally, a comparison experiment shows that the proposed method provides better tracking performance while reducing more communication burden and guaranteeing the privacy of physical entities.