Differentially Private Consensus of Multiagent Systems Under Binary-Valued Communications

• 成果类型: Article
• 署名作者: Lu, Xiaodong; Zhao, Yanlong; Zhang, Ji-Feng
• 署名单位: University of Science & Technology Beijing; Chinese Academy of Sciences; Nanjing Institute of Geology & Paleontology, CAS; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Zhongyuan University of Technology
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2026.3668109
• 发表日期: 2026
• 关键词: POWER ENGINEERING APPLICATIONS; Average consensus; COORDINATION

摘要

This article investigates the differentially private output consensus problem of continuous-time heterogeneous multiagent systems. An algorithm blending estimation, control and privacy is proposed. To prevent privacy leakage, each agent constructs an auxiliary variable regarding to its own initial output, and then adds a nondecaying noise to this variable. To incorporate the network bandwidth limitation, each agent quantifies the noisy auxiliary variable to 1-bit binary-valued data, and transmits this data to its neighbors at some impulse time instants. Based on the received information, each agent builds the recursive projection algorithm to estimate its neighbors' auxiliary variables, and updates its own auxiliary variable. Then, each agent designs its controller by using its own state and auxiliary variable to achieve the mean-square output consensus. To characterize the degree of privacy protection, the differential privacy index of the proposed mechanism is derived. Compared with the existing works, this article only needs 1-bit communication bandwidth, and the control signals are not required to constantly feed back to the original system. From the aspect of quantization and control, the communication resources can be conserved. An example is presented to illustrate the effectiveness of the theoretical results.