NDLI: Distributed fault detection for a class of second-order multi-agent systems: an optimal robust observer approach

Content Provider	IET Digital Library
Author	Shi, Jiantao He, Xiao Wang, Zidong Zhou, Donghua
Abstract	In this study, the distributed fault detection and isolation problem for a class of second-order discrete-time multi-agent systems (MASs) is studied by using an optimal robust observer approach. The work is based on an MAS with a mean square bounded consensus protocol. The authors prove that for this kind of system, a bank of optimal robust observers can be constructed for a certain agent to detect and isolate the possible faults of its neighbour agents. The main result of this study is to bring forward an existence condition for these observers, which is closely related to the topology structure of the MAS. For the detection of the faults injected in position states, they show that only the position information of the MAS is needed, but for the case of detecting faults in velocity states, both position and velocity measurements are needed. Simulation results are presented to illustrate the effectiveness of the results proposed in this study.
Starting Page	1032
Ending Page	1044
Page Count	13
ISSN	17518644
Volume Number	8
e-ISSN	17518652
Issue Number	Issue 12, Aug (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/8/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2013.0841
Journal	IET Control Theory & Applications
Publisher Date	2014-05-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Artificial Intelligence Discrete Control System Discrete Time System Discrete-time Multiagent System Distributed Fault Detection Fault Diagnosis Fault Isolation Problem MAS Mean Square Bounded Consensus Protocol Multi-agent System Optimal Control Optimal Robust Observer Position Measurement Second-order Multiagent System Topology Structure Velocity Measurement Velocity State
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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