Resilient consensus control of multi-agent systems under privacy protection
This paper presents a new privacy-preserving resilient consensus algorithm for multi-agent systems whose communication network suffers from deception attacks and privacy theft.First,considering the multi-agent system directly exposes the real state information to the outside in the information transmission process,a node state information processing mechanism based on state allocation is designed to ensure the security of node state information privacy in the system.Secondly,considering the influence of external attackers on system consensus,the detection step is further introduced into the state allocation mechanism to ensure the safe consensus of the system.Third,mathematical theory analysis proved that the algorithm can effectively protect the privacy of node initial state information and ensure the system achieves resilient consensus.Finally,the effectiveness of this algorithm is further verified by numerical simulation and comparison experiments.
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