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.
由于内在的滞回非线性，超磁致伸缩驱动器(GMA)会在开环系统中引起定位误差，在闭环系统中造成系统不稳定。
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.
DRNN控制器是根据GMA的滞回特性构造的，通过反馈误差学习方案在线学习GMA的逆滞回模型。
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