Optimized fuzzy logic controller cuts average robotic arm tracking error by 89% in simulations
A genetically optimized fuzzy logic controller for robotic arms is described in the International Journal of Automation and Control. The system improves accuracy and resilience in simulations of a three-degree-of-freedom ...
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