搜索资源列表
RBF_SMC
- 本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。
annVSScontrol
- 神经网络滑模控制器设计的matlab源代码，对于研究滑模边结构控制的同学很有用。
RBFslidingmode
- 基于RBF神经网络的等效滑模控制 很详细 大家可以参考程序 把里面的模型改改 希望对大家有帮助-the code of RBF sliding mode
chap5_2s
- 将切换函数作为RBF网络的输入，利用神经网络的功能，实现了滑模控制。-Will be switched to function as the RBF network input, using neural network function, the sliding mode control to achieve.
67890a.ZIP
- SRM积分滑模变结构与神经网络补偿控制SRM integral sliding mode variable structure control with neural network compensation-SRM integral sliding mode variable structure control with neural network compensation
d4ef13.ZIP
- SRM积分滑模变结构与神经网络补偿控制SRM integral sliding mode variable structure control with neural network compensation-SRM integral sliding mode variable structure control with neural network compensation
chap5
- 基于神经网络的滑模控制，包括神经网络的最小参数学习法的自适应滑模控制和二阶系统的滑模控制。-Sliding mode control based on neural network sliding mode adaptive sliding mode control, including the minimum parameters of neural network learning method and two order control system.
lugre-hua-cmodel
- 液压位置控制源代码，有摩擦补偿，利用滑模控制器实现，神经网络逼近等。-Hydraulic position control source code, friction compensation, the use of sliding mode controller to achieve, neural network approximation.
jiqirenxitong
- 机器人系统的控制方法，利用滑模控制和神经网络来实现。-Robot system control method, using sliding mode control and neural network to achieve.
RBF估计干扰
- 用RBF神经网络算法对非线性干扰进行估计，提高控制精度，并将其与普通滑模控制进行比较。(The RBF neural network algorithm is used to estimate the nonlinear disturbance, and the control accuracy is improved.)
chap5
- 神经网络滑模控制提出了一种新的基于滑模面的控制，所以从仿真图可以看出在两端会有振荡现象产生(Neural network sliding mode control proposed a new control based on sliding mode, so it can be seen from the simulation diagram that there will be oscillations at both ends.)