Position tracking of a 3-PSP parallel robot using dynamic growing interval type-2 fuzzy neural control

- A novel dynamic growing mechanism is proposed in the structure learning phase of the interval type-2 fuzzy neural controller.
- The proposed controller combines the merits of type-2 fuzzy systems in handling high levels of uncertainty and dynamic growing mechanism to reduce the computational burden.
- The proposed controller is applied to the 3-PSP parallel robot.
- The simulation and experimental results prove the superiority of the proposed controller namely in lower number of rules and higher precision.