Update ReadMe.md

ReadMe.md

@@ -90,11 +90,14 @@ The environment is controller-agnostic — any control algorithm can be plugged
 
 | File | Controller |
 |------|-----------|
-| `pid_simulation.py` | Feedforward LUT + PID |
 | `lev_PID.ipynb` | Interactive PID tuning notebook |
-| `optuna_pid_tune.py` | Optuna-based automated PID hyperparameter search |
 | `lev_PPO.ipynb` | PPO reinforcement learning via Stable-Baselines3 |
 
+### Supplementary Files for PID:
+
+`pid_simulation.py`: Feedforward LUT + PID
+`optuna_pid_tune.py`: Optuna-based automated PID hyperparameter search
+
 Pre-tuned PID gain sets are saved in `pid_best_params*.json` (variants for 1500, 3000, and 6000 Optuna trials).
 
 ### PWM circuit model