搜索资源列表
CHAP10_1
- 确定性单臂机械手的PD+前馈控制 matlab仿真 -uncertainty arm manipulator PD feedforward control Matlab simulation
Neural_Network_Code_CHAPT9
- LAM（线性联想记忆）算法：单层的前馈网络，例子能够实现自联想功能-LAM (Linear associative memory) algorithm : the first single-layer feedforward network, for example, can be realized since Lenovo function
chap_1
- 确定性机械手的PD+前馈控制的Ｓ函数的控制程序-uncertainty manipulator PD feedforward control of the S-function control procedures
ANN_Control
- 神经网络控制工具箱。包括最优控制，反馈线性化控制，预测控制，前馈控制等。内有说明文件readme.txt-neural network control toolbox. Including optimal control, linear feedback control, predictive control, feedforward control. Have documentation readme.txt
IncrementalRandomNeurons
- 本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hid
simulink.rar
- 本程序是对一些先进控制算法，例如内模算法，史密斯预估算法，前馈补偿算法和预测算法进行仿真．,This procedure is to simulink some advanced control algorithms, such as the internal model algorithm, Smith forecast algorithm feedforward compensation algorithm and prediction algorithm.
Fortran_bp
- BP（Back Propagation）网络是1986年由Rumelhart和McCelland为首的科学家小组提出，是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。-
PID-Control-10
- 基于前馈补偿的PID控制算法。可以通过设置M参数查看控制效果（M=2时误差平稳且接近0）。-Feedforward compensation based on the PID control algorithm. You can view the control parameters by setting the effect of M (M = 2 when the error is stable and close to 0).
PNN
- PNN又称为概率神经网络,它最初由数学家Specht于1990年提出,后经Master[1995]等不断发展和完善,已成功地应用于机器学习、人工智能、自动控制等众多领域.概率神经网络比多层前馈网络的数学原理简单,且易于实现-PNN is also known as the probabilistic neural network, which was first introduced by the mathematician Specht in 1990, after the Master [1
anc_headphone_two_micphone_4
- ANC算法的前馈实现，它可以实现噪声的消除，有相关的做这个的人也可以跟我交流，我遇到问题了。。13548074570-the anc used feedforward
feedforward_with_GUI
- design and implementation of feedforward neural network with BP training algorithm.(include the GUI)
dynamicfeedforwardcontrol
- 由simulink搭建的动态前馈控制系统模型-Simulink set up by the dynamic feedforward control system model
feedforwardcontrol
- 包含前馈与串级控制系统和前馈与反馈控制系统两个模型-Including feedforward and cascade control system and the feedforward and feedback control system the two models
chap9-5
- 伺服系统三环的PID控制MATLAB仿真（根据是否加入摩擦干扰和前馈补偿分别进行仿真）-Ring of the PID servo control system MATLAB simulation (based on whether to join the disturbance and feedforward compensation for friction is simulated, respectively)
trainigfeedforwardwithgenetic
- this is an e-book about Training Feedforward Neural Networks Using Genetic Algorithms
Feedforward-compensation-1_23_12
- 基于前馈补偿的PID控制算法例程。可以参考下，matlab下的-Feedforward compensation based on the PID control algorithm routines. Can refer to, matlab under
Feedforward-control-system
- 过程控制理论研究，应用于前馈控制，应用Simulink仿真，易于学习应用。-Process control theory applied to the feedforward control, the application of Simulink simulation is easy to learn applications.
Feedforward-PID
- 基于matlab前馈补偿的PID控制程序-Feedforward compensation of PID control based on
feedforward-network
- example of feedforward network for classification iris data
Feedforward-control-system
- 前馈控制系统例程，适于初学者学习和使用。-Routine feedforward control system, It`s suitable for beginners to learn and use.