Robust Stabilization of T–S Fuzzy Stochastic Descriptor Systems via Integral Sliding Modes
- Submitting institution
-
The University of Kent
- Unit of assessment
- 12 - Engineering
- Output identifier
- 15486
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2017.2749244
- Title of journal
- IEEE Transactions on Cybernetics
- Article number
- -
- First page
- 2736
- Volume
- 48
- Issue
- 9
- ISSN
- 2168-2267
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
https://kar.kent.ac.uk/63504/
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper considers the robust stabilization problem for T–S fuzzy stochastic descriptor systems using an integral sliding mode control paradigm. The paper is significant because a novel unified framework for sliding mode control of T–S fuzzy systems is formulated for the first time, which removes two restrictive traditional assumptions in all the existing work. The results have been applied to an inverted pendulum model to show the potential application of the developed new framework in reality.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
