动态平均一致性中的分布式故障检测与调节
Distributed Fault Detection and Accommodation in Dynamic Average Consensus
摘要：
本文提出了制定故障检测和住宿计划的自主代理网络运行内模为基础的动态平均共识算法。我们专注于两种类型的共识算法，一种是内部稳定的，但非鲁棒性的初始条件和一个是强大的初始条件，但不是内部稳定的。对于每个共识算法，一个故障检测滤波器的基础上的未知输入观测器计划的发展，精确估计发生在网络边缘的通信故障。然后，我们提出了一个故障修复计划，使代理可以达到平均共识，即使在存在通信故障。
英文摘要：
This paper presents the formulation of fault detection and accommodation schemes for a network of autonomous agents running internal model-based dynamic average consensus algorithms. We focus on two types of consensus algorithms, one that is internally stable but non-robust to initial conditions and one that is robust to initial conditions but not internally stable. For each consensus algorithm, a fault detection filter based on the unknown input observer scheme is developed for precisely estimating the communication faults that occur on the network edges. We then propose a fault remediation scheme so that the agents could reach average consensus even in the presence of communication faults.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
