PID_RBF_AC_Nonlinearr
所属分类：人工智能/神经网络/深度学习
开发工具：Python
文件大小：832KB
下载次数：4
上传日期：2022-05-15 15:52:24
上 传 者：
sh-1993
说明： PID_RBF_AC_Nonlinearr,基于RBF网络和AC强化学习对位置式PID参数进行调节,被控对象是非线性系统
(PID_ RBF_ AC_ Nonlinearr, based on RBF network and AC reinforcement learning, the position PID parameters are adjusted, and the controlled object is a nonlinear system)
文件列表:
13.png (76816, 2022-05-15)
133.png (97466, 2022-05-15)
PID_RBF_AC (0, 2022-05-15)
PID_RBF_AC\.ipynb_checkpoints (0, 2022-05-15)
PID_RBF_AC\.ipynb_checkpoints\eval-checkpoint.py (2061, 2022-05-15)
PID_RBF_AC\.ipynb_checkpoints\train-checkpoint.py (2035, 2022-05-15)
PID_RBF_AC\1.pkl (24422, 2022-05-15)
PID_RBF_AC\GymEnv (0, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints (0, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints\PARAMS-checkpoint.py (869, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints\PARAMS_SN-checkpoint.py (10, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints\__init__-checkpoint.py (255, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints\env-checkpoint.py (3816, 2022-05-15)
PID_RBF_AC\GymEnv\.ipynb_checkpoints\utility-checkpoint.py (2851, 2022-05-15)
PID_RBF_AC\GymEnv\PARAMS.py (869, 2022-05-15)
PID_RBF_AC\GymEnv\PARAMS_SN.py (10, 2022-05-15)
PID_RBF_AC\GymEnv\__init__.py (255, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__ (0, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__\PARAMS.cpython-38.pyc (524, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__\PARAMS_SN.cpython-38.pyc (141, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__\__init__.cpython-38.pyc (250, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__\env.cpython-38.pyc (3289, 2022-05-15)
PID_RBF_AC\GymEnv\__pycache__\utility.cpython-38.pyc (2781, 2022-05-15)
PID_RBF_AC\GymEnv\env.py (3816, 2022-05-15)
PID_RBF_AC\GymEnv\utility.py (2851, 2022-05-15)
PID_RBF_AC\PID.txt (239096, 2022-05-15)
PID_RBF_AC\eval.py (2061, 2022-05-15)
PID_RBF_AC\hope_value.txt (18004, 2022-05-15)
PID_RBF_AC\model_value.txt (77353, 2022-05-15)
PID_RBF_AC\random_value.txt (78208, 2022-05-15)
PID_RBF_AC\train.py (2035, 2022-05-15)
data_deal.m (1076, 2022-05-15)
stable_baselines3 (0, 2022-05-15)
stable_baselines3\__init__.py (815, 2022-05-15)
stable_baselines3\__pycache__ (0, 2022-05-15)
stable_baselines3\__pycache__\__init__.cpython-38.pyc (1105, 2022-05-15)
stable_baselines3\a2c (0, 2022-05-15)
stable_baselines3\a2c\.ipynb_checkpoints (0, 2022-05-15)
... ...
# PID_RBF_AC_Nonlinearr
基于RBF网络和AC强化学习对位置式PID参数进行调节,被控对象是非线性系统
1、stable_baselines3
增加径向基神经网络
2、PID_RBF_AC
RL主程序
3、data_deal.m
将测试的代码生成的数据进行显示
效果如下:
训练结果
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