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Memory clustering using persistent homology for multimodality- and discontinuity-sensitive learning of optimal control warm-starts

Abstract:

Shooting methods are an efficient approach to solving nonlinear optimal control problems. As they use local optimization, they exhibit favorable convergence when initialized with a good warm-start but may not converge at all if provided with a poor initial guess. Recent work has focused on providing an initial guess from a learned model trained on samples generated during an offline exploration of the problem space. However, in practice, the solutions contain discontinuities introduced by sys...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TRO.2021.3069132

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-3235-4906
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-4371-4623
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
IEEE Transactions on Robotics Journal website
Volume:
37
Issue:
5
Pages:
1649-1660
Publication date:
2021-04-30
Acceptance date:
2021-03-01
DOI:
EISSN:
1941-0468
ISSN:
1552-3098
Language:
English
Keywords:
Pubs id:
1176604
Local pid:
pubs:1176604
Deposit date:
2023-01-23

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