首页> 外文会议>2014 IEEE 19th International Functional Electrical Stimulation Society Annual Conference >Adaptive fuzzy terminal-based neuro-sliding mode control of ankle-joint movement using intraspinal micro stimulation
【24h】

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

机译:基于脊柱内微刺激的基于自适应模糊终端的踝关节运动神经滑模控制

获取原文
获取原文并翻译 | 示例

摘要

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:在这项研究中,提出了一种基于自适应模糊终端神经滑模控制(AFTNSMC)的脊髓内微刺激(ISMS)控制踝关节。该控制器基于自适应终端神经控制器与滑模控制(SMC)的组合。与传统的梯度下降学习算法相比,终端动力学的最大优势是快速收敛。实验在三只大鼠上进行。将微电极插入背屈肌和plant屈肌的运动池中。结果表明,使用AFTNSMC可以获得良好的跟踪性能。在所有实验和所有大鼠的所有实验中,跟踪误差的平均值为4.8°(9.3%)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号