@inproceedings{e31dc3eb62ad4b02bdfa08e06dacae17,
title = "Privacy preserving Mean-square consensus for discrete-time heterogeneous multi-agent systems with Communication Noises",
abstract = "This paper investigates privacy-preserving mean-square consensus in distributed heterogeneous multi-agent systems with communication noise on fixed undirected graphs. To mitigate the impact of communication noise, we introduce a stochastic approximation step rule in the control protocol. Utilizing graph theory, stochastic analysis, and Lyapunov theory, consensus conditions are derived. Subsequently, a cryptographic cryptosystem encrypts the designed protocol, safeguarding against eavesdropping and information privacy loss between agents during consensus. Numerical simulations confirm the efficacy of the proposed consensus protocol and privacy protection algorithm.",
keywords = "Consensus, Distributed, Heterogeneous multi-agent systems (HMAS), Privacy preserving",
author = "Tongqing Yang and Lipo Mo and Yingmin Jia",
note = "Publisher Copyright: {\textcopyright} The 2024 International Conference on Artificial Life and Robotics (ICAROB2024); 29th International Conference on Artificial Life and Robotics, ICAROB 2024 ; Conference date: 22-02-2024 Through 25-02-2024",
year = "2024",
language = "英语",
isbn = "9784991333705",
series = "Proceedings of International Conference on Artificial Life and Robotics",
publisher = "ALife Robotics Corporation Ltd",
pages = "239--242",
editor = "Yingmin Jia and Takao Ito and Ju-Jang Lee",
booktitle = "Proceedings of The 2024 International Conference on Artificial Life and Robotics, ICAROB 2024",
address = "日本",
}