文件名称:Machine_Learning_For_Control_Systems-master
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- 上传时间：
- 2017-11-20
- 文件大小：
- 188kb
- 下载次数：
- 0次
- 提 供 者：
- 南**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
实现倒立摆平衡的控制仿真，及其方便，matlab非常易懂(Realize the balance of inverted pendulum control simulation, and its convenience, Matlab is very easy to understand)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Machine_Learning_For_Control_Systems-master | ||
| Machine_Learning_For_Control_Systems-master\Code_1 | ||
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole | ||
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\fnCost.m | 163 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\fnCostComputation.m | 352 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\fnState_And_Control_Transition_Matrices.m | 674 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\fnsimulate.m | 554 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\main.m | 4775 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\CartPole\output.pdf | 36869 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum | ||
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\Output.pdf | 23099 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\fnCost.m | 163 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\fnCostComputation.m | 352 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\fnState_And_Control_Transition_Matrices.m | 289 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\fnsimulate.m | 313 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulum\main.m | 4376 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust | ||
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\Output.pdf | 24841 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\Output1.pdf | 24993 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\Output2.pdf | 24726 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\Output3.pdf | 25490 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\fnCost.m | 163 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\fnCostComputation.m | 352 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\fnState_And_Control_Transition_Matrices.m | 289 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\fnsimulate.m | 341 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_1\InvertedPendulumRobust\main.m | 4516 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2 | ||
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole | ||
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnCost.m | 163 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnCostComputation.m | 352 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnPhi.m | 345 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnState_And_Control_Transition_Matrices.m | 749 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnsimulate.m | 554 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\fnsimulateEst.m | 623 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\main.m | 6118 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_2\CartPole\output.pdf | 36869 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_3 | ||
| Machine_Learning_For_Control_Systems-master\Code_3\Problem1 | ||
| Machine_Learning_For_Control_Systems-master\Code_3\Problem1\main.m | 2789 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Code_3\Problem2 | ||
| Machine_Learning_For_Control_Systems-master\Code_3\Problem2\main.m | 2602 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode | ||
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\DiffusionRate.m | 149 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\DriftRate.m | 239 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\DriftRateA.m | 46 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\DriftRateB.m | 85 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\DriftRateSg.m | 85 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project1_FinalCode\main.m | 3954 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode | ||
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\DiffusionRate.m | 149 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\DriftRate.m | 239 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\DriftRateA.m | 46 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\DriftRateB.m | 85 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\DriftRateSg.m | 85 | 2017-07-17 |
| Machine_Learning_For_Control_Systems-master\Project2_FinalCode\main.m | 3954 | 2017-07-17 |