Type-2 Fuzzy Hybrid Controller Network for Robotic Systems
- Submitting institution
-
Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 29563285
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2019.2919128
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 3778
- Volume
- 50
- Issue
- 8
- ISSN
- 2168-2267
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- 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
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper invents a new fuzzy neural network, published in the top journal in the fields of control theory and artificial intelligence; TCYB has an acceptance rate of <10%. Whilst being very recent, it has led to further developments, including research done by world-leading groups in the area (e.g., University of New South Wales, Australia; University of Granada, Spain; Sejong University, South Korea; Georgia Institute of Technology, USA).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -