Decentralized fault diagnosis for heterogeneous multi-agent systems
File(s)draft_FD_multiAgent_final_V1.pdf (564.85 KB)
Accepted version
Author(s)
Boem, F
Sabattini, L
Secchi, C
Type
Conference Paper
Abstract
The paper proposes a decentralized method for
fault detection and isolation in heterogeneous multi-agents
systems. The agents are partitioned into independent nodes,
providing the control inputs and monitoring the system, and
dependent nodes, controlled by local interaction laws and sub-
ject to faults. The approach uses a decentralized state estimation
algorithm allowing the independent nodes to estimate both the
state of the dependent nodes and the control input components
computed by the other independent nodes, in a completely
decentralized way, without requiring communication among
the independent nodes. Suitable detection and isolation resid-
uals and thresholds are derived. Detectability and isolability
sufficient conditions are provided. Simulation results show the
effectiveness of the proposed approach.
fault detection and isolation in heterogeneous multi-agents
systems. The agents are partitioned into independent nodes,
providing the control inputs and monitoring the system, and
dependent nodes, controlled by local interaction laws and sub-
ject to faults. The approach uses a decentralized state estimation
algorithm allowing the independent nodes to estimate both the
state of the dependent nodes and the control input components
computed by the other independent nodes, in a completely
decentralized way, without requiring communication among
the independent nodes. Suitable detection and isolation resid-
uals and thresholds are derived. Detectability and isolability
sufficient conditions are provided. Simulation results show the
effectiveness of the proposed approach.
Date Issued
2016-11-10
Date Acceptance
2016-06-17
Citation
2016
Publisher
IEEE
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/7739841
Source
SysTol’16: 3rd International Conference on Control and Fault-Tolerant Systems
Subjects
Science & Technology
Technology
Automation & Control Systems
CONSENSUS
Publication Status
Published
Start Date
2016-09-07
Finish Date
2016-09-09
Coverage Spatial
Barcelona
Date Publish Online
2016-11-10