Distributed Fault Detection and Isolation for Multiagent Systems: An Interval Observer Approach
提出一种分布式方法，利用区间观测器检测和隔离多智能体系统中的故障，每个智能体能判断哪个邻居发生故障，并通过仿真验证。
This paper presents a distributed method for detecting and isolating the faults in multiagent systems (MASs). First, for the output-feedback-based closed-loop MAS in normal case and faulty cases, a bank of fault detection and isolation (FDI) interval observers are constructed by taking into account the outputs of local and received from neighbors, the bounds of one node fault signal and the whole disturbances. Then, the observer gains can be determined by solving the disturbance attenuation, fault sensitivity, and nonnegativity conditions, simultaneously. Furthermore, an alarm signal is released when the zero value is excluded from any one of the intervals, a node fault is indicated when the zero value is included in one residual interval and excluded from the surplus intervals. Different from the classical FDI methods, the proposed interval observers are able to both generate the residual signals and imply the thresholds. Under such framework, each agent has the capacity to determine which neighbor agent is faulty. Finally, the developed techniques are demonstrated in a simulation example.