Neuro-Fuzzy PID Control

Problem
Developed a neuro-fuzzy-based adaptive PID controller for a 2R manipulator with varying trajectories, emphasizing stability and performance across operating conditions.

Approach
- Designed a neuro-fuzzy adaptive tuning strategy to update PID gains under changing trajectories.
- Evaluated tracking stability and control smoothness across multiple excitation profiles.