A distributed networked approach for fault detection of large-scale systems
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 231
- Type
- D - Journal article
- DOI
-
10.1109/TAC.2016.2539326
- Title of journal
- IEEE Transactions on Automatic Control
- Article number
- -
- 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
-
10.1109/TAC.2016.2539326
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We present a fundamentally novel distributed networked fault detection methodology for large-scale systems that meets the monitoring and safety requirements of next-generation distributed systems. Through the scalable integration of adaptive dynamic state estimation and realistic network topologies, we enable solutions to the challenging problem of designing fault-tolerant and cyber-secure critical-infrastructure systems. This research was instrumental in obtaining the 40M Euro KIOS flagship project under the Horizon 2020 WIDESPREAD-2016-2017 programme (grant agreement No 739551). On-going research collaborations with top academic institutions such as EPFL (Prof Ferrari-Trecate), UCL (Dr Boem) and OSU (Prof Serrani) originated from this work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -