Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the 
Presence of State Dependent Uncertainties

Ibrahim, Mohamed; Kallies, Christian; Findeisen, Rolf

doi:10.23919/ECC51009.2020.9143737

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Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties

Ibrahim, M., Kallies, C., & Findeisen, R. (2020). Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. In 2020 European Control Conference (ECC) (pp. 338-343). IEEE.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-F1CE-F Version Permalink: https://hdl.handle.net/21.11116/0000-0009-F1CF-E

Genre: Conference Paper

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Creators:
Ibrahim, Mohamed¹, Author
Kallies, Christian^{1, 2}, Author
Findeisen, Rolf¹, Author

Affiliations:
1Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143

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Language(s): eng - English

Dates: Date issued: 2020

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.23919/ECC51009.2020.9143737

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Title: European Control Conference - ECC 2020 (Virtual)

Place of Event: Saint Petersburg, Russia

Start-/End Date: 2020-05-12 - 2020-05-15

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Title: 2020 European Control Conference (ECC)

Source Genre: Proceedings

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Publ. Info: IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 338 - 343 Identifier: ISBN: 978-3-90714-402-2