The dynamic behavior of the hydraulic actuator in a system for regulating the position of the electrodes is crucial for the operation of a ladle-type Electric Arc Furnace. The objective of the work is the identification, modeling, and control of the hydraulic actuator in the Spoon Furnace of ACINOX Las Tunas, Cuba. For the identification, input signals of the type of Pseudo-Random Binary and black box models were used. As a result, three models were obtained, two of them reflecting the asymmetric behavior of the process according to the upward or downward movement. The third model approximates the dynamic behavior of the process around the operating point and includes the uncertainty caused by the weight variation during the wear of the electrodes. The models obtained, with adjustments more significant than 85%, allow a better understanding of the behavior of the study case. In addition, they were allowed to evaluate the incidence of the variation of the weight of the electrodes and to tune several controllers to select the optimal one, which was a non-linear PI controller of guaranteed robustness. For the future implementation of the best control strategy, the use of a non-linear function that compensates even better for the asymmetric behavior of the process could also be evaluated.