搜索资源列表
cmac1
- 人工神经网络中cmac网络应用于机器人手臂控制的算法研究-artificial neural network cmac network to control the robot arm Algorithm
Neural-network-intelligent-control
- 机器人手臂神经网络智能控制建模，simulink仿真，源代码-Neural network intelligent control of robot arm model, simulink simulation, source code
RBF_robot
- 基于RBF网络的机器人手臂运动关节的仿真实例。利用RBF网络实现机器人手臂运动关节的仿真实例建模。-RBF network based on the movement of the robot arm joint simulation. RBF network using the robot arm joint movement simulation modeling.
robotadaptivecontrol
- 基于模型整体逼近的机器人RBF网络自适应控制，本例为双力臂仿真程序-The overall model-based RBF network approximation of the robot adaptive control, in this case simulation program for dual-arm
neural-network-modeling
- 机器人手臂小波神经网络控制的matlab建模，simulink，源代码-Robot arm controlled by neural network modeling matlab, simulink, source code
ntrol
- 神经网络与粒子滤波的柔性臂控制方法Neural network and particle filter method for flexible arm control-Neural network and particle filter method for flexible arm control
Neural-network-
- 神经网络的前馈控制仿真，模型是空间漂浮基机器人手臂的动力学方程-The neural network feedforward control simulation model, the model is floating space, the dynamic equations of a robotic arm
chengxuthiee
- 双力臂机械手控制基于不确定补偿神经网络自适应控制-Dual-arm robot control based on uncertain compensation Neural Network Adaptive Control
chengxufour
- 单力臂机械手控制基于模型分块的机器人神经网络自适应控制-Single-arm robot control block of model-based neural network adaptive control robot
chengxufive
- 双力臂机械手控制，基于分块模型逼近的机器人神经网络自适应控制-Dual-arm robot control, block model approach based on neural network adaptive robot control
RBF
- 采用RBF神经网络算法对机器人手臂进行控制，达到很好的控制效果，精确度也相对较高。-RBF neural network algorithm for controlling the robot arm, to achieve a good result, the accuracy is relatively high.