Hierarchical-Structure-Based Fault Estimation and Fault-Tolerant Control for Multiagent Systems
- Submitting institution
-
The University of Hull
- Unit of assessment
- 12 - Engineering
- Output identifier
- 3510683
- Type
- D - Journal article
- DOI
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10.1109/TCNS.2018.2860460
- Title of journal
- IEEE Transactions on Control of Network Systems
- Article number
- -
- First page
- 586
- Volume
- 6
- Issue
- 2
- ISSN
- 2372-2533
- Open access status
- Not compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Multi-agent systems (MASs), such as autonomous vehicle formations and wireless network scheduling, require fault estimation at the individual agent level and fault tolerant control across the whole system for robust operation. This paper proposes a novel, hierarchical control structure for MASs in the event of additive actuator faults and is validated with simulations of voltage faults in a three-agent quadrotor system and valve faults in a three-machine power system.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -