论文标题
通过分析沟通优先级来远程故障检测
Towards remote fault detection by analyzing communication priorities
论文作者
论文摘要
检测故障的能力是基于事件的多代理系统的重要安全功能。在大多数现有算法中，每个代理都试图通过检查自己的行为来检测故障。但是，如果一个代理无法识别行为不当，例如由于其机载故障检测失败，该怎么办？为了提高弹性并避免对多代理系统的单个错误传播，代理应互相检查是否出现故障或行为不当。在本文中，我们建立在最近提出的预测触发体系结构的基础上，该体系结构涉及整个网络中共享的通信优先级以管理有限的带宽。我们提出了一种使用这些优先级来检测其他药物中错误的故障检测方法。所得算法不仅能够检测故障，而且可以实时在低功率微控制器上运行，正如我们在硬件实验中所证明的那样。
The ability to detect faults is an important safety feature for event-based multi-agent systems. In most existing algorithms, each agent tries to detect faults by checking its own behavior. But what if one agent becomes unable to recognize misbehavior, for example due to failure in its onboard fault detection? To improve resilience and avoid propagation of individual errors to the multi-agent system, agents should check each other remotely for malfunction or misbehavior. In this paper, we build upon a recently proposed predictive triggering architecture that involves communication priorities shared throughout the network to manage limited bandwidth. We propose a fault detection method that uses these priorities to detect errors in other agents. The resulting algorithms is not only able to detect faults, but can also run on a low-power microcontroller in real-time, as we demonstrate in hardware experiments.
