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Automatic Estimation of Parameters of Complex Fuzzy Control Systems

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Published: 1 year ago

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Insight on complex fuzzy control systems employing automatic estimation of parameters. This study includes the principles of rule base reduction methods, the sensory-fusion method, the hierarchical method, GA applications which automatically finds parameters to improve the complex fuzzy control system performance, and the inverted pendulum & beam-and-ball complex control systems.

ABOUT THE AUTHOR

Yulia Ledeneva, Rene Garcia Hernandez, Alexander G

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