A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems

Figure 2

(a) Sum of the measurement errors for each iterative model during a simulation with 4.86% of failures when the proposed compensation algorithm with is used and (b) comparison of the performance displayed in (a) with those obtained if the algorithm designed in [11] is used or if no compensation algorithm is used for the same simulation.

(a)

(b)