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yongfenjishenjingwangluoxuexijiqirendedonglixueted
- 摘要：给出了解决机器人控制问题一种神经网络方法。使用一个分级神经网络(NN)结构学习刚体机器人动力学特点。对于一般类别的机械手，使用前训练一系列的三层前馈网络模块，然后把这些基函数实时地用于第四层。使用线性控制原理，辅以非线性补偿控制机械手，使学得的机械手动力学知识创建一个在整个工程中高速控制机械手的控制器。模拟结果表明控制器的性能得到了大大提高。-Abstract: This paper presents a solution to the issue of robot control neu
PD
- PD型的迭代学习控制程序，可以用于控制一个单臂机械手等，比Pid算法简单一点，但效果不如pid简单-PD-type iterative learning control procedures can be used to control a robot arm and so on, Pid algorithm than a simple point, but not as good as simple pid
adaptiverbf
- matlab编写的，关于模型未知机器人轨迹跟踪神经网络控制的研究-adaptive nn control to robot
dastebandi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni
estekhraj-vijegi
- Design a feedforward network is u dehaze algorithms review path planning using GA and ACO... The neural network adaboost stron TS neural network m files, fast c bp neural network, written with C Bayes net and memory based learni