Fault detection and isolation using relative information for multi-agent systems

We study fault detection and isolation of multi-agent systems existing fault signals. Based upon the designing idea of unknown input observer, we proposed an innovative fault detection and isolation strategy. When the existence conditions are satisfied, the observer can be constructed using only relative information. A threshold logic and the corresponding algorithm are presented to detect and isolate the agent suffering from fault. Furthermore, a distributed implementation of our method is provided which helps to reduce the observer dimensions and simplify the design procedure. Practical simulations are given to demonstrate the validity of the theoretic results. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

Automated summary

In this study, a fault detection and isolation strategy for multi-agent systems with existing fault signals is proposed based on the design concept of unknown input observer. The strategy utilizes only relative information to construct the observer and employs a threshold logic and algorithm to detect and isolate faults in agents. Additionally, a distributed implementation is provided to reduce observer dimensions and simplify the design process, with practical simulations demonstrating the validity of the theoretical results.