Min-Max Consensus Algorithm for Multi-agent Systems Subject to Privacy-Preserving Problem

• Published in: Neural Information Processing Vol. 11307; pp. 132 - 142
• Main Authors: Wang, Aijuan, Mu, Nankun, Liao, Xiaofeng
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Min-max consensus algorithm; Multi-agent systems; Privacy-preserving

This paper proposes a privacy-preserving min-max consensus algorithm for discrete-time multi-agent systems, where all agents not only can reach a common state asymptotically, but also can preserve the privacy of their states at each iteration. Based on the proposed algorithm, the detailed consensus...