搜索资源列表
9036543
- 自适应PID解耦控制方法及其应用 ,基于RBF神经网络-ADAPTIVE PID DECOUPLING CONTROL BASED ON RBF NEURAL NETWORK AND ITS APPLICATION
2324556
- 自适应PID解耦控制方法基于RBF神经网络及其应用 -ADAPTIVE PID DECOUPLING CONTROL BASED ON RBF NEURAL NETWORK AND ITS APPLICATION
543218
- 同步控制方法结合RBF神经网络和遗传算法 - networked Synchronization Control Method by the Combination of RBF Neural Network and Genetic Algorithm
chuong_trinh
- control pid-neural based on rbf-nn for CF-control pid-neural based on rbf-nn for CFBB
RBFVARPIDbasic
- 应用于时变时滞非线性系统的RBF神经网络和PID相结合的控制方法代码-Control method code varying delay nonlinear systems when applied RBF neural network and PID combine
RBFGPC_Iden
- 将RBF神经网络与广义预测控制算法相结合，使广义预测控制算法的稳定性、准确性提高。-The RBF neural network and generalized predictive control algorithm combine to make generalized predictive control algorithm stability, accuracy improved.
Neural-network-toolbox-function
- Matlab神经网络工具箱函数涉及的网络模型有，感知机网络、线性神经网络、BP神经网络、径向基神经网络、自组织神经网络、学习向量量化神经网络、Elman神经网络、Hopfield神经网络、自适应滤波和控制系统网络等。-Matlab neural network toolbox function involving network model have a perceptron and linear neural network, BP neural network, RBF neural net
chap9_3
- 基于RBF神经网络整定的PID控制 大家互相学习，交流-RBF AND PID CONTROL
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
chap9_2
- 本程序为对被控对象的RBF神经网络监督控制程序。-The procedures for the controlled object RBF neural network supervisory control procedures
chap9_3
- 本程序为对被控对象的RBF神经网络自校正控制程序-The procedures for the controlled object RBF neural network self-tuning control program
RBFNN_PID
- 基于局部误差的RBF神经网络辨识+PID自校正控制MATLABC程序-RBF neural network based local error identification+ PID self-tuning control MATLABC program
RBFAdaptivePID
- 一种基于RBF的PID自适应整定算法，一种基于RBF的PID自适应整定算法。-Adaptive PID control based on RBF Identification
11
- RBF网络的学习过程与BP网络的学习过程类似，两者的主要区别在于各使用不同的作用函数。BP网络中隐层使用的是Sigmoid函数，其值在输入空间中无限大的范围内为非零值，因而是一种全局逼近的神经网络；而RBF网络中的作用函数是高斯基函数，其值在输入空间中有限范围内为非零值，因为RBF网络是局部逼近的神经网络。 RBF网络是一种3层前向网络，由输入到输出的映射是非线性的，而隐层空间到输出空间的映射是线性的，而且RBF网络局部逼近的神经网络，因而采用RBF网络大大加快学习速度并避免局部极小问题，
chap4
- 自适应RBF神经网络控制，包括神经网络逼近的自适应控制和参数未知的自适应控制。-Adaptive RBF neural network control, adaptive control and adaptive control of unknown parameters including the neural network approximation.
chapt
- 基于RBF网络的动态面自适应控制，以飞行器航迹角自适应神经网络动态面为例进行了讲解。-Adaptive dynamic surface control based on RBF network, with the flight path angle neural network based adaptive dynamic surface as an example to explain.
chengxutwo
- 基于模型不确定补偿的RBF网络机器人自适应控制-RBF network robot model based adaptive control of uncertain compensation
chap4_10
- 基于模糊RBF网络整定的PID控制，借鉴与刘金琨老师的《先进PID控制》-PID control based on fuzzy RBF network setting
rbf_pid_code
- 在MATLAB环境中实现RBF神经网络自适应控制-Implement RBF Neural Network Adaptive Control in the MATLAB environment