Title :
Fault detection for high-order multi-agent systems with disturbances
Author :
Xiuhua Liu ; Xianwen Gao ; Jian Han
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, fault detection for a class of high-order multi-agent systems with disturbances is researched. Though considering faults and disturbances as unknown input, we construct observers in an agent with respect to its each neighbor agent, and obtain the corresponding residuals, which are produced by these observer errors. We can monitor whether there is a neighbor agent with faults by comparing residuals with the given thresholds, and the residuals are robust to all type of disturbances since disturbances do not appear in observer errors. Simulations are given to demonstrate the effectiveness of the proposed method.
Keywords :
fault diagnosis; multi-agent systems; multi-robot systems; observers; fault detection; high-order multiagent system; neighbor agent; observer error; Fault detection; Matrices; Monitoring; Multi-agent systems; Observers; Robustness; Topology; Disturbances; Fault Detection; High-order Multi-agent Systems; Observers;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162590