-using-Neural-Networks-and-Reinforcement-Learning
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：500KB
下载次数：23
上传日期：2023-01-16 13:59:41
上 传 者：
sh-1993
说明： 使用神经网络的函数逼近和自适应PID增益调整以及使用神经网络进行的强化学习、系统辨识和自校正PID控制
(Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Reinforcement-Learning,System Identification and Self-Tuning PID Control using NN)
文件列表:
FA_A2C.m (3195, 2023-06-01)
PID Neural Net.pdf (534314, 2023-06-01)
PID_FA_NN.m (3531, 2023-06-01)
# Function-Approximation-and-Adaptive-PID-Gain-Tuning-using-Neural-Networks-and-Actor-Critic-algorithm
**System Identification and Self-Tuning PID Control using NN and reinforcement learning**
In this project, we will aim to tune the PID controller gains adaptively using Actor-Critic method with the radial basis or guassian kernels. We assume we don't have an accurate model of the system and that is why we take the advantage of Neural Networks to estimate the dynamical model of the system and then use the achieved model to find the best PID gains using Actor-Critic Reinforcement Learning method.
## Notes
`PID_FA_NN.m` :
This file is Fucntion approximation using Neural Networks with Adaptive PID Gains. You can read the attached `PID Neural Networks.pdf` file for learning the algorithm and structures.
`FA_A2C.m` :
Function Approximation using Actor-Critic Algorithm
If you want to change the dynamic system, Please just change the `NonLinDynamic(.)` function in MATLAB files.
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