Distributed Optimal Solution Manipulated via Local False Information

• 成果类型: Article
• 署名作者: Zhu, Wenbo; Hong, Yiguang
• 署名单位: Tongji University; Tongji University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2026.3660188
• 发表日期: 2026
• 关键词: convex-optimization; CONSENSUS PROBLEMS; graphs

摘要

In this article, we consider how a selfish agent manipulates the optimal value of multiagent optimization by local false information. First, we formulate a distributed optimization problem for multiagent systems with a selfish agent that aims to shift the global optimal state to its preference via local information manipulation. Then, based on a well-known distributed proportion-integral optimization, the deception strategies are proposed, and the exponential convergence of the manipulated algorithms is proved. Moreover, for any given deviation tolerated by other agents, the selection of the deception parameter is provided as well.