Tuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4

This video covers the basics of data-driven approaches to tuning fuzzy inference systems.

See what it means to find an optimal solution, which fuzzy inference parameters are being tuned. 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.

Learn More:

- What is Fuzzy Logic?: https://bit.ly/3AHxUiB

- Getting Started with Fuzzy Logic Toolbox: https://bit.ly/3FyYpKt

- Design Controller for Artificial Pancreas Using Fuzzy Logic (Mathworks): https://bit.ly/2YN2t9k

- Artificial Pancreas Control Using Fuzzy Logic (Video): https://bit.ly/3Byod75

- Fuzzy Trees (Mathworks): https://bit.ly/3v1BgeL

- Tuning Fuzzy Inference Systems (Mathworks): https://bit.ly/3FE5XeX

- Genetic Algorithm: https://bit.ly/3AvWjqY

- Pattern Search Optimization: https://bit.ly/3Av6oVo

Join us on Telegram: https://t.me/matlabcastor

Join us on Facebook Group: https://www.facebook.com/groups/matlabcodes