Hybrid control based on type-2 fuzzy-iterative learning control strategies with stewart platform for repetitive trajectories

In this study, the hybrid control based on type-2 fuzzy-iterative learning control (HT2F-ILC) is extended from the basic iterative learning control (ILC) for tracking trajectories. The interval type-2 fuzzy logic control strategy is like an instructor based on the saturation function for tuning weighting to improve the performance limitation of basic iterative learning controller with Stewart platform. And HT2F-ILC indeed improves the performance of the basic ILC effectively that prove the effectiveness and feasibility of the controller.

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