搜索资源列表
Inverted_Pendulum_Using_NNPID
- 利用神经网络PID算法控制倒立摆的Matlab源码-Matlab Codes on Controlling Inverted Pendulum Using NNPID Algorithm
SOM1
- 用som神经网络算法来实现倒立摆的平衡控制，效果很好。-Som neural network algorithm used to achieve a balanced inverted pendulum control, very good.
Double-Inverted-Pendulum
- 基于BP神经网络的二级倒立摆控制器选择小车的位移和速度及两个摆杆偏离铅锤线的角度和角速度为输入数据。并经训练可得到一个神经网络控制器。-The controller of the double inverted pendulum based on the BP neural network chooses displacement and speed of the car, the angle between the two pendulums bar and vertical line and
GA_BPNN
- 基于遗传算法和BP神经网络控制倒立摆的程序，用遗传算法优化神经网络权值阈值以达到更好的控制效果-Based on genetic algorithm and BP neural network control procedures for the inverted pendulum, with a genetic algorithm neural network weight threshold in order to achieve better control performance
MatlabPPID
- bp神经网络优化PID算法，单级倒立摆，神经网络 PID-bp neural network optimization PID algorithm, single inverted pendulum, neural network PID
20110619-1
- 针对BP神经网络存在的缺点，本文利用遗传算法能够收敛到全局最优解而 且遗传算法鲁棒性强的特点将遗传算法同神经网络结合起来，不仅能发挥神经网 络的泛化映射能力，而且使神经网络具有很快的收敛性以及较强的学习能力。为 了验证遗传算法优化BP神经网络的有效性，本文将此算法应用到直线一级倒立 摆的稳定控制中，同时利用UbVIEW语言界面开发能力强，并且数据输入、网 络通信、硬件控制简单的优点，制作了倒立摆的仿真控制和实时控制软件。仿真 研究表明，遗传算法优化BP神经网络的控制器设计
Nonlinearly-Adaptive
- ：针对能够采用仿射非线性表示的含有未建模动态的SISO非线性系统，讨论了一种基于神经网络的自适应 控制方法．该方法对受控对象的已知部分．采用反馈线性化方法设计控制器，用神经网络在线补偿未建模动态及 外部干扰等引起的误差，从而实现自适应控制。对具有未建模动态的双车倒立摆设计了输出反馈自适应控制系 统．仿真表明该方法是有效的。 -A discussion is devoted to design neural network adaptive control scheme of t
triplehandstandpendulum
- 学校布置的神经网络控制的大作业，控制三级倒立摆的，实验效果非常好！-School layout neural network control of a large operation, control triple inverted pendulum, the experimental results is very good!
SJWLPID
- 基于PID神经网络的倒立摆控制系统（神经网络控制）-Inverted Pendulum Control System Based on PID Neural Network
single-inverted-pendulum
- 一级倒立摆源码，采用模糊fuzzy、神经网络控制-source code of single inverted pendulum ，using fuzzy control.
sjwl_z
- 倒立摆神经网络模型参考控制器设计,过程很繁琐，里面包括参考的模型，实际的倒立摆模型-Inverted pendulum neural network model reference controller design process is cumbersome, which includes the reference model, the actual inverted pendulum model
dailibai-neural
- 使用神经网络实现对一阶倒立摆的控制。其中包含simulink连接图、神经网络程序、最终结果。-Using neural network to achieve a first-order inverted pendulum control. Contains simulink connection diagram, the neural network program, the final result.
3jiedaolibai
- 使用神经网络实现对三阶倒立摆的控制。包含simulink连接图、神经网络程序、最终结果。-Using neural network to achieve control of the third-order inverted pendulum. Contains the simulink connection diagram, neural network program, the final result.
SOM
- 用神经网络SOM算法实现了倒立摆的平衡控制，并取得了很好的效果-SOM neural network algorithm to achieve inverted pendulum balance control, and have achieved very good results
inverted_pendulum_refernce_study
- 一种结合神经网络来控制倒立摆稳定的程序。用强化学习方法，训练两个网络，一个是行为网络，一个是评估网络-a method to balance a inverted pendulum, using reference studing, as well as neural network.
shengjingdaolibai
- BP神经网络根据LQR控制固高一级倒立摆，稳定控制及起摆控制-BP neural network based on solid LQR control an inverted pendulum stability control and from the pendulum control
2-jiedaolibai
- 使用神经网络实现2阶倒立摆的控制。包含simulink连接图、神经网络程序、最终结果。-Second order inverted pendulum control using neural network. Contains the simulink connection diagram, neural network program, the final result.
neurul_pendulum
- BP神经网络控制一级倒立摆simulink仿真-BP neural network control an inverted pendulum simulink simulation
RBF-inverted-pendulum-system
- 利用RBF神经网络对倒立摆系统进行控制，仿真证明能够对倒立摆的位置和速度进行很好的跟踪-By using RBF neural network to control the inverted pendulum system, the simulation prove that the position and speed of the inverted pendulum can be a good tracking
daolibai
- 本程序可以实现利用神经网络算法对倒立摆的稳定控制-Stability control procedures can be achieved using neural network algorithm for inverted pendulum