Decentralized Secure State-Tracking in Multiagent Systems

• 成果类型: Article
• 署名作者: Mao, Yanwen; Tabuada, Paulo
• 署名单位: University of California System; University of California Los Angeles
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3200951
• 发表日期: 2023
• 页码: 4053-4064
• 关键词: Fault tolerant control; Linear systems; networked control systems

摘要

This article addresses the problem of decentralized state-tracking in the presence of sensor attacks. We consider a network of nodes where each node has the objective of tracking the state of a linear dynamical system based on its measurements and messages exchanged with neighboring nodes notwithstanding some measurements being spoofed by an adversary. We propose a novel decentralized attack-resilient state-tracking algorithm based on the simple observation that a compressed version of all the network measurements suffices to reconstruct the state. This motivates a 2-step solution to the decentralized secure state-tracking problem: first, each node tracks the compressed version of all the network measurements, and second, each node asymptotically reconstructs the state from the output of the first step. We prove that, under mild technical assumptions, our algorithm enables each node to track the state of the linear system and thus solves the decentralized secure state-tracking problem.