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吊装作业时人员不得进入摆臂运动范围内。
讨论了一种基于双映射神经网络的机械臂运动控制器。
The application of a robotic manipulator based on mutual mapping neural network(MMNN) is discussed.
试验表明，此方法可以有效地克服片状压电陶瓷驱动器的迟滞特性，消除柔性臂运动产生的振动，实现柔性臂的高精度轨迹控制。
The results show that the approach can overcome the nonlinear hysteresis of piezoelectric actuator and the vibration of flexible manipulator and get high tracking control accuracy.
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