Differentially Private Consensus Control for Discrete-Time Multiagent Systems: Encoding-Decoding Schemes

• 成果类型: Article
• 署名作者: Gao, Chen; Wang, Zidong; He, Xiao; Liu, Yang; Yue, Dong
• 署名单位: Nanjing University of Science & Technology; Brunel University; Tsinghua University; University of Huddersfield; Nanjing University of Posts & Telecommunications
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3367803
• 发表日期: 2024
• 页码: 5554-5561
• 关键词: Consensus control; Differential privacy; encoding-decoding scheme (EDS); mean-square consensus; Multiagent system (MAS)

摘要

This article is concerned with the differentially private consensus control (DPCC) problem for linear discrete-time multiagent systems (MASs) under dynamic encoding-decoding schemes (EDSs), where the agents' initial states are the sensitive data to be protected from potential eavesdroppers. The EDS is deployed on each agent to compress the data before transmission so as to better utilize the limited network bandwidth. Differential privacy, as a performance metric, is introduced to evaluate the level of privacy, and an EDS-based DPCC scheme is proposed to ensure the ultimate mean-square consensus with preserved differential privacy. A set of criteria is first established for the EDS-embedded DPCC problem in terms of the performance of consensus, the size of transmitted data, and the level of privacy. Subsequently, the codesign issue is discussed for the EDS, the differentially private mechanism, and the consensus controller. Finally, the effectiveness of the developed algorithm is illustrated via numerical simulations.