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|Title:||A type-2 fuzzy logic controller for the liquid-level process|
|Source:||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|
|Appears in Collections:||Staff Publications|
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