The proposed controller combines the advantages of neural network and inverse system control, and can compensate the influence of uncertainty and nonlinearity.
该方法结合了神经网络和逆系统控制的优点，能够克服系统中的不确定性和非线性因素。
Neural network is used in this paper to solve the problem of kinematics and inverse kinematics in kinematical control of spatial redundant robots.
针对空间冗余机器人运动学控制中正、逆运动学求解的复杂性，采用神经网络从两方面解决这一问题。
The results of simulation show that the existing control problem of the plant can be successfully solved by neural network, adaptive inverse control and the result is good.
仿真结果表明，神经网络、自适应逆控制方法可以成功地解决装置中现有的控制问题，并取得良好的效果。
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