Due to the inherent hysteretic nonlinearity, the giant magnetostrictive actuator (GMA) can cause position error in the open-loop systems, and cause instability in the closed-loop systems.
The DRNN controller was constructed based on the hysteretic characteristics of the GMA, and on-line learned the inverse hysteresis model of the GMA by the feedback-error learning scheme.