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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Main Authors: | Mehndiratta, Mohit, Camci, Efe, Kayacan, Erdal |
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其他作者: | School of Mechanical and Aerospace Engineering |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2020
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在線閱讀: | https://hdl.handle.net/10356/143042 |
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機構: | Nanyang Technological University |
語言: | English |
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