“…Like Kalman filter, for instance, but with simpler implementation, sliding mode with good noise tolerance can be used to design an observer that drives a state's prediction error to a sliding surface within finite time, where the predictions accurately reflect the actual system's state. Elsewhere, authors such as [25] used modified higher-order SMO on an SP crane while in [26] disturbance observer method was exploited for the prediction of equivalent input perturbations.…”