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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Bibliographic Details
Main Authors: Mehndiratta, Mohit, Camci, Efe, Kayacan, Erdal
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143042
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Institution: Nanyang Technological University
Language: English

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