no-smooth hysteresis inverse model 非光滑迟滞逆模型
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。
In order to mitigate the effect of the hysteresis, the control method for compensating hysteresis was proposed by combining the inverse model and phase-angle compensation.
为了进行迟滞非线性补偿，提出了相位补偿与迟滞逆模型相结合来补偿迟滞特性的控制方法。
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