Automated tuning of nonlinear model predictive controller by reinforcement learning
One of the major challenges of model predictive control (MPC) for robotic applications is the non-trivial weight tuning process while crafting the objective function. This process is often executed using the trial-and-error method by the user. Consequently, the optimality of the weights and the time...
Saved in:
Main Authors: | , , |
---|---|
其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/143042 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|