Fuzzy clustering based spatiotemporal fuzzy logic controller design
Intelligent Control and Automation（2012）
摘要
Three-dimensional fuzzy logic controller (3-D FLC) is a novel FLC developed for spatially-distributed parameter systems. In this study, we concentrate on the data-driven based 3-D FLC design. Firstly, an initial rule-base of 3-D FLC is learned by fuzzy c-means algorithm from spatial-temporal data set. Then, the rule-base is reduced by using distance-based similarity measure to check similar fuzzy sets and similar rules. Finally, the parameters are refined by a gradient-descent approach. A catalytic packed-bed reactor is taken as an application to demonstrate the effectiveness of the proposed 3-D FLC design method.
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关键词
chemical reactors,fuzzy clustering,fuzzy set theory,three-dimensional fuzzy logic controller,pattern clustering,type-2 fuzzy set,knowledge based systems,spatiotemporal fuzzy logic controller design,similar fuzzy sets,three-dimensional fuzzy set,control system synthesis,catalytic packed-bed reactor,spatially distributed parameter system,gradient-descent approach,spatiotemporal phenomena,controller design,distance-based similarity measure,data-driven based 3-d flc design,fuzzy logic controller,gradient methods,rule-base reduction,similar rules,fuzzy control,fuzzy c-means algorithm,inductors,optimization,fuzzy sets,automation,fuzzy logic
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