A type-2 fuzzy logic controller for the liquid-level process

Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2004.1375536

Title:	A type-2 fuzzy logic controller for the liquid-level process
Authors:	Wu, D. Tan, W.W.
Issue Date:	2004
Citation:	Wu, D.,Tan, W.W. (2004). A type-2 fuzzy logic controller for the liquid-level process. IEEE International Conference on Fuzzy Systems 2 : 953-958. ScholarBank@NUS Repository. https://doi.org/10.1109/FUZZY.2004.1375536
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.
Source Title:	IEEE International Conference on Fuzzy Systems
URI:	http://scholarbank.nus.edu.sg/handle/10635/69117
ISBN:	0780383532
ISSN:	10987584
DOI:	10.1109/FUZZY.2004.1375536
Appears in Collections:	Staff Publications

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