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Title:

Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States

Document type:
Konferenzbeitrag
Author(s):
Lefringhausen, Robert; Srithasan, Supitsana; Lederer, Armin; Hirche, Sandra
Pages contribution:
90-97
Abstract:
As control engineering methods are applied to increasingly complex systems, data-driven approaches for system identification appear as a promising alternative to physics-based modeling. While the Bayesian approaches prevalent for safety-critical applications usually rely on the availability of state measurements, the states of a complex system are often not directly measurable. It may then be necessary to jointly estimate the dynamics and the latent state, making the quantification of uncertaint...     »
Keywords:
coman; tumagenda2030
Book / Congress title:
2024 European Control Conference (ECC)
Date of congress:
25.06.2024 - 28.06.2024
Date of publication:
24.07.2024
Year:
2024
Fulltext / DOI:
doi:10.23919/ECC64448.2024.10590972
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