Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty
Author:
Affiliation:
1. School of Computer Science, the University of Sydney,Australia
2. Australian Research Council's centre in Data Analytics for Resources and Environments (DARE) and the University of Sydney's Brain and Mind Centre
3. NVIDIA,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9811522/9811357/09812406.pdf?arnumber=9812406
Reference32 articles.
1. STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation;bhardwaj;Conference on Robot Learning (CoRL),2021
2. Active covariance matrix adaptation for the (1+1)-CMA-ES
3. Variational Bayesian Optimization for Runtime Risk-Sensitive Control
4. Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control;guzman;IEEE l of Robotics and Automation,2020
5. Domain randomization for transferring deep neural networks from simulation to the real world
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Safe Risk-Averse Bayesian Optimization for Controller Tuning;IEEE Robotics and Automation Letters;2023-12
2. Automatic tuning of robust model predictive control in iterative tasks using efficient Bayesian optimization;Transactions of the Institute of Measurement and Control;2023-09-19
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