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...

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書目詳細資料
Main Authors: Mehndiratta, Mohit, Camci, Efe, Kayacan, Erdal
其他作者: School of Mechanical and Aerospace Engineering
格式: Conference or Workshop Item
語言:English
出版: 2020
主題:
在線閱讀:https://hdl.handle.net/10356/143042
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