How the generated parameters of agent are related PI/PID controller in reinforcement learning algorithm
4 ビュー (過去 30 日間)
古いコメントを表示
Kurnam Gnaneshwar
2023 年 1 月 11 日
コメント済み: Emmanouil Tzorakoleftherakis
2023 年 2 月 19 日
Respected all,
The following example shows the PI controller design using TD3 reinforcement learning algorithm. How the agent parameters are related to PI controller gains for the following example.
0 件のコメント
採用された回答
Emmanouil Tzorakoleftherakis
2023 年 1 月 24 日
This example uses an actor network that works as a PI controller. This is possible because we are using a customer layer called fullyConnectedPILayer.
After training, the weights of the fullyConnectedPILayer are effectively the weights of the tuned PI controller.
Hope that helps
2 件のコメント
Emmanouil Tzorakoleftherakis
2023 年 2 月 19 日
Not sure I fully understand. The actor model in the example is fully editable
その他の回答 (0 件)
参考
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!