Fuzzy Logic, Part 4: Fuzzy Logic Controller Tuning
From the series: Fuzzy Logic
Cover the basics of data-driven approaches to fuzzy logic controller tuning and fuzzy inference systems.
See how to tune fuzzy inference parameters to find optimal solutions. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters.
Follow along with an example about tuning a fuzzy inference system using data that controls an artificial pancreas.
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