Finite-Time Privacy-Preserving Average Consensus Control of Multi-Agent Systems Via Output Mask Approach

Privacy-preserving has been crucial functionalities for distributed systems ranging including distributed information fusion, decision-making and distributed optimization. Considering not only privacy-preserving but also convergence performance of continuous-time multi-agent system, comprehensively, this paper proposes a novel finite-time privacy-preserving consensus control protocol to resolve the above difficulties. Firstly, by adopting the output mask function, the true initial state of each agent is kept indecipherable for neighboring agents. In terms of the convergence performance on multi-agent system, finite-time consensus controller is generated to make system reach consensus in finite time. Moreover, the corresponding settling time is obtained which related to initial state and controller parameters. Finally, the effectiveness of the finite-time privacy-preserving control protocol is demonstrated by numerical simulation examples.