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Adaptive fuzzy terminal-based neuro-sliding mode control of ankle-joint movement using intraspinal micro stimulation

机译:基于自适应模糊终端的神经滑动模式控制踝关节运动使用内踝 - 微刺激

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In this study an adaptive fuzzy terminal-based neuro-sliding mode control (AFTNSMC) was proposed for control of ankle joint using intraspinal microstimulation (ISMS). The controller is based on the combination of an adaptive terminal-based neural controller with sliding-mode control (SMC). The most advantage of terminal dynamics is the fast convergence compared to the conventional gradient descent learning algorithm. The experiments were conducted on three rats. Microelectrodes were inserted into the motor pools of dorsiflexor and plantar flexor muscles. The results show that a good tracking performance was obtained using AFTNSMC. The average of tracking error over all trials of experiments and all rats is 4.8° (9.3%).
机译:在该研究中,提出了一种基于自适应模糊末端的神经滑动模式控制(AFTNSMC),用于使用内腔微刺激(ISMS)控制踝关节。 控制器基于具有滑模控制(SMC)的自适应终端基神经控制器的组合。 与传统梯度下降学习算法相比,终端动态的最优点是快速收敛。 实验在三只大鼠上进行。 将微电极插入到背离的电机池和Purtorar屈肌肌肉中。 结果表明,使用AFTNSMC获得了良好的跟踪性能。 所有实验试验和所有大鼠的跟踪误差的平均值为4.8°(9.3%)。

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