Distributed Secure Control for Nonlinear Descriptor Multiagent Systems With Unknown Inputs Under Denial-of-Service Attacks
针对遭受拒绝服务攻击的非线性描述符多智能体系统，设计了能同时估计状态、测量噪声和未知输入的局部未知输入观测器，并基于此提出分布式补偿控制器实现渐近一致性。
This article investigates the secure control problem for a class of Lipschitz nonlinear descriptor multiagent systems (MASs) with unknown inputs under Denial-of-Service (DoS) attacks. In order to address the presence of unknown state variables and external disturbances in both the state and output equations, a local unknown input observer (UIO) is developed for each follower agent. The proposed UIO is capable of simultaneously estimating the system state, measurement noise and unknown inputs through an interval observer. With regards to DoS attacks, we consider two types: those that maintain connectivity and those that paralyze it by disrupting the structure of the information communication topology graph. By utilizing the proposed UIO, a distributed compensation controller is designed to achieve asymptotic consensus for leader-following MASs under DoS attacks. Additionally, a comprehensive stability analysis of the closed-loop system is provided, taking into account switching systems. Finally, two simulation examples are presented to validate the effectiveness of the proposed UIO-based distributed secure control scheme.