标题： 基于观测器的数据驱动非线性多智能体系统在拒绝服务和故障注入攻击下的一致性控制 显示英文标题

标题： Observer-Based Data-Driven Consensus Control for Nonlinear Multi-Agent Systems against DoS and FDI attacks

摘要： 现有的数据驱动控制方法通常无法同时应对虚假数据注入（FDI）和拒绝服务（DoS）攻击。本文引入了一个在FDI和DoS攻击下分布式数据驱动的鲁棒一致性问题，并提出了一种数据驱动的一致性控制框架，该框架由一组综合的攻击鲁棒观测器组成。所提出的观测器旨在估计FDI攻击、外部干扰和聚合干扰，并结合DoS攻击补偿机制。文中提供了该方法的严格稳定性分析，以确保分布式邻域估计一致性误差的有界性。通过涉及无领导者一致性和领导者跟随一致性的数值例子验证了该方法的有效性，表明与现有的数据驱动控制方法相比，其鲁棒性能显著提高。 显示英文摘要

摘要： Existing data-driven control methods generally do not address False Data Injection (FDI) and Denial-of-Service (DoS) attacks simultaneously. This letter introduces a distributed data-driven attack-resilient consensus problem under both FDI and DoS attacks and proposes a data-driven consensus control framework, consisting of a group of comprehensive attack-resilient observers. The proposed group of observers is designed to estimate FDI attacks, external disturbances, and lumped disturbances, combined with a DoS attack compensation mechanism. A rigorous stability analysis of the approach is provided to ensure the boundedness of the distributed neighborhood estimation consensus error. The effectiveness of the approach is validated through numerical examples involving both leaderless consensus and leader-follower consensus, demonstrating significantly improved resilient performance compared to existing data-driven control approaches.