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A type-2 fuzzy logic controller for the liquid-level process
Abstract
This paper focuses on evolving type-2 fuzzy logic controllers (FLCs) genetically and examining whether they are better able to handle modelling uncertainties. The study is conducted by utilizing a type-2 FLC, evolved by a genetic algorithm (GA), to control a liquid-level process. A two stage strategy is employed to design the type-2 FLC. First, the parameters of a type-1 FLC are optimized using GA. Next, the footprint of uncertainty is evolved by blurring the fuzzy input set. Experimental results show that the type-2 FLC copes well with the complexity of the plant, and can handle the modelling uncertainty better than its type-1 counterpart.
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Citations
Cited by
Interval Type-2 Fuzzy Logic Systems Made Simple
Mendel, J. M., John, R. I., & Liu, F. (2006) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2006.879986 · Cited by 2,112
On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers
Wu, D. (2012) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2012.2186818 · Cited by 339
Self-citationGeometric Type-1 and Type-2 Fuzzy Logic Systems
Coupland, S., & John, R. (2007) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2006.889764 · Cited by 316
Metadata
- Authors
- Wu, D., & Tan, W. W.
- Venue
- 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)
- Publisher
- IEEE
- Published
- 2005-02-28
- Volume
- 2
- Pages
- 953-958
- ISSN
- 1098-7584 (ISSN-L)
- OpenAlex
- W2116818985
- Cited by
- 167
- References
- 0
- FWCI
- 8.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A type-2 fuzzy logic controller for the liquid-level process. https://app.cochat.ai/papers/10.1109/fuzzy.2004.1375536
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- Wu, D., & Tan, W. W. (2005). A type-2 fuzzy logic controller for the liquid-level process. 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542). https://doi.org/10.1109/fuzzy.2004.1375536
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