Learning-Based Methods for Spacecraft Dynamics Modeling, Filtering, and Predictive Control
Spacecraft motion under model uncertainty arises in many on-orbit assembly, servicing, and assistance scenarios, including tasks requiring manipulation of unknown grappled objects. Traditionally, adaptive model-based control approaches have relied on an analytical dynamics model with a set of parame...
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Massachusetts Institute of Technology
2022
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| Online Access: | https://hdl.handle.net/1721.1/144750 https://orcid.org/ 0000-0002-6090-6934 |