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一种基于单神经元的机器人实时控制自适应算法研究
A Adaptive Algorithm of Robot Realtime Controller Based on Single Neuron
【摘要】 单个神经元具有对对象模型精度要求不高、结构简单、抗干扰能力强 ,可进行在线学习和无需辨识的优点 .基于此 ,本文针对双连杆柔性机械臂设计了单个自适应神经元的控制器 ,并进行仿真实验 ,通过对竖直线轨迹的跟踪 ,表明单个自适应神经元算法具有全局最优性和鲁棒性 .实验结果证明了该算法的可行性
【Abstract】 In this paper, based on the selflearning characteristic of the single adaptive neuron, a single adaptive neuron controller was designed. Through updating the vertical line,we know that this algorithm has the optimization globally and robustness. The experimental results show that the algorithm is feasible.
【关键词】 自适应神经元;
实时控制;
双连杆柔性机械臂;
【Key words】 single adaptive neuron; realtime control; two link flexible robot manipulator;
【Key words】 single adaptive neuron; realtime control; two link flexible robot manipulator;
- 【文献出处】 小型微型计算机系统 ,Mini-micro Systems , 编辑部邮箱 ,2003年02期
- 【分类号】TP273.22
- 【被引频次】6
- 【下载频次】125