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5-5-2
- 这是本人在做硕士论文毕业设计时开发有关神经网络优化控制方面的代码-this is my master's thesis done in graduate design development of the neural network optimization control code
armfuzzy
- 有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。-pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, ther
PIDControl
- PID控制,通过神经网络调节其中的Kp,Ki,Kd加以实现，可以改变响应速度,可以消除振荡。-PID control, neural network regulation through the Kp, Ki, Kd be achieved, can change the response time and eliminate vibration.
a11202
- 用MATLAB写的神经网络PID控制源程序，类似刘金锟的《先进PID控制及MATLAB仿真》-MATLAB write neural network PID control source, Liu Kun similar to the "advanced PID control and MATLAB simulation"
matlab15
- 用MATLAB写神经网络PID控制源程序的说明，神经网络工具箱的说明-MATLAB write neural network PID control of the source note, neural network toolbox Note
kingder
- 基于DRNN的神经网络整定参数自学习的PID控制仿真-DRNN based on neural network tuning parameters since learning PID Control Simulation
pendulum1ctrl
- 用神经网络来控制一阶倒立摆，给出matlab的simulink仿真-neural network to control a band inverted pendulum, is Matlab Simulink simulation
kkkk
- 神经网络交流传动系统自适应控制（有大量的文献资料)-neural network. Adaptive transmission control (a large number of literature data)
rnnContr
- 神经网络在线训练和控制仿真程序，控制一个二关节机器人。-online training neural network simulation and control procedures, controls a two joint robot.
PID_BP
- 该程序是基于BP网络的PID控制系统。系统由两部分构成：经典的PID控制器和神经网络。-that the procedure was based on BP network PID control system. System consists of two parts : the classic PID controller and neural networks.
FBP
- 基于BP神经网络的模糊控制算法程序，该程序完整，可在matlab环境下运行 -based on BP neural network algorithm for fuzzy control procedures, the integrity of the process can run under Matlab
B.P.Lathi-Matlab
- matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。-Matlab routi
3_pdf_1
- 基于神经网络的迭代学习控制方法在间歇聚合反应中的应用-based on neural network iterative learning control method in batch polymerization of
PID_ARBF3
- rbf神经网络PID解耦控制仿真,现在比较热门的.-rbf neural network PID control, simulation, a more popular.
cmac1
- 人工神经网络中cmac网络应用于机器人手臂控制的算法研究-artificial neural network cmac network to control the robot arm Algorithm
yichuangsuanfa
- 遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。-genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, Biological sciences, and social sciences are
chap4_5
- 基于RBF神经网络辨识的单神经元PID模型参考自适应控制-RBF neural network-based identification of single neuron PID MRAC
chap6_5
- 基于DRNN神经网络整定的PID控制，matlab程序-DRNN based neural network tuning PID control, Matlab procedures
robort
- 机器人控制的仿真，使用遗传算法优化神经网络-control of the robot simulation, the use of genetic algorithm optimization neural network
chap6-4s
- 智能控制仿真4 基于神经网络的模糊控制器设计 简单易懂 适合学习-four intelligent control simulation based on neural network fuzzy controller design is simple to understand for learning