A Self-Tuning zSlices-Based General Type-2 Fuzzy PI Controller
- Submitting institution
-
The University of Essex
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1106
- Type
- D - Journal article
- DOI
-
10.1109/tfuzz.2014.2336267
- Title of journal
- IEEE Transactions on Fuzzy Systems
- Article number
- 4
- First page
- 991
- Volume
- 23
- Issue
- 4
- ISSN
- 1063-6706
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- 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
-
1
- Research group(s)
-
A - Artificial Intelligence (AI)
- Citation count
- 60
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Introduced the first real-time general type-2 fuzzy PI controller where the features of speed and robustness are combined without increasing the computational complexity to provide superior transient-state response, disturbance-rejection and robust control performance compared to state-of-art fuzzy controllers. The research has a deep academic impact on induction generator-Based Wind Energy Systems (Raju,Pillai, India), controllers for Power-Line inspection robots (Zhao,Chen,Dian,Gu,LI China), Urban Traffic Network management (Khooban,Vafamand,Liaghat,Dragicevic Denmark). The research excellence is evidenced by Kumbasar winning the 2015 best paper award in the flagship FUZZ-IEEE conference and the paper nominated for 2015 outstanding paper award in the IEEE Transaction on Fuzzy Systems
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -