Fuzzy clustering based spatiotemporal fuzzy logic controller design

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.