Fault Detection for Fuzzy Systems With Multiplicative Noises Under Periodic Communication Protocols
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 099-182539-5807
- Type
- D - Journal article
- DOI
-
10.1109/TFUZZ.2017.2774193
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- -
- First page
- 2384
- Volume
- 26
- Issue
- 4
- ISSN
- 1063-6706
- Open access status
- Not compliant
- Month of publication
- November
- Year of publication
- 2017
- 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
-
2
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is the first paper published in the top journal on fuzzy systems that has opened up a new research branch in networked systems by making the first attempt to tackle the fuzzy fault detection problem with communication protocols. The new problem addressed and the new convex-analysis-based methodologies have quickly attracted research attention from the fuzzy control community leading to a number of journal citations. Part of the main results has later been referred in a monograph entitled “Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities” published by CRC Press in 2018.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
