A Distributed Networked Approach for Fault Detection of Large-Scale Systems
- Submitting institution
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University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12450
- Type
- D - Journal article
- DOI
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10.1109/TAC.2016.2539326
- Title of journal
- IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Article number
- 1
- First page
- 18
- Volume
- 62
- Issue
- 1
- ISSN
- 0018-9286
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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- 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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4
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- International co-authors. Highly cited paper on the most prestigious journal of the control community. First distributed diagnosis architecture solving the challenges emerging in networked systems: communication delays, packet losses and asynchronous measurements. Ongoing international collaboration with KIOS, Cyprus. Led to invited talks at Univ. of Oxford 2019, Univ. of Padua 2017, invitation to write book chapter (In Uncertainty in Complex Networked Systems. Systems & Control: Foundations & Applications. Birkhäuser) and involvement in EU-H2020-WIDESPREAD-TEAMING project, 2016 (€41 million total funding, €15 million from EC). Led to appointment as AE for the IEEE CEB and Member of the IFAC Technical Committee 6.4.
- Author contribution statement
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- Non-English
- No
- English abstract
- -