Bipartite Consensus of Privacy-Preserving Multi-agent Systems Under Adaptive Policy Control

The bipartite consensus problem in multi-agent systems (MASs), as a crucial foundation in the field of cooperative control, has become a hot topic in numerous research areas. Collaborative control of MASs can be threatened by information leakage, so this paper conducts an in-depth study on this. Firstly, in this paper, we design a privacy-preserving control protocol to encrypt and protect the original data to prevent information leakage in MASs. Secondly, due to the existence of cooperative competition within the MASs, this paper adds an adaptive strategy to the privacy-preserving control protocol and realizes the system’s adaptive bipartite consensus. Then, the theoretical analysis shows that the method is able to achieve system convergence while providing privacy preservation for system information. Finally, the effectiveness of this method is validated through simulation experiments on MASs with a fixed topology structure.