ABSTRACT

In this paper, the stochastic fault and cyber-attack detection and consensus control problems are investigated for multi-agent systems. By using a Markovian approach, Linear Matrix Inequalities (LMI) are derived that incorporate relative information among the agents to detect stochastic faults and cyber-attacks and then resiliently control the system to reach a consensus. A mixed coding and Message Authentication approach is presented to detect data injection cyber-attacks on the communication links. By using the Bayesian inference, useful information regarding the cyber-attack, such as the probability of its occurrence, is derived. Simulation and two case study results corresponding to a team of multi-agent Autonomous Underwater Vehicles (UAVs) confirm and verify the effectiveness and capabilities of our proposed methodologies.

摘要

在本文中，研究了多智能体系统的随机故障和网络攻击检测和共识控制问题。通过使用马尔可夫方法，导出了线性矩阵不等式 (LMI)，它结合了代理之间的相关信息以检测随机故障和网络攻击，然后弹性控制系统以达成共识。提出了一种混合编码和消息身份验证方法来检测通信链路上的数据注入网络攻击。通过使用贝叶斯推理，可以得出有关网络攻击的有用信息，例如其发生的概率。与多智能体自主水下航行器 (UAV) 团队相对应的模拟和两个案例研究结果证实并验证了我们提出的方法的有效性和能力。