Research Article
[Retracted] Robust LQR-Based Neural-Fuzzy Tracking Control for a Lower Limb Exoskeleton System with Parametric Uncertainties and External Disturbances
Table 5
Comparative performance analysis of the proposed control over the contrast control.
| Joint name | RMSE (ERL-SM) (deg) | RMSE (RLQR-NF) (deg) | PI (%) |
| Case I: with a 20% increment in mass parameters and a trigonometric form of external disturbances | Hip | 0.578 | 0.283 | 51.04 | Knee | 0.672 | 0.420 | 37.50 | Ankle | 0.321 | 0.224 | 30.21 |
| Case II: with a 30% increment in mass parameters and a random form of external disturbances | Hip | 0.613 | 0.287 | 53.19 | Knee | 0.742 | 0.434 | 41.51 | Ankle | 0.334 | 0.228 | 31.73 |
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