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  Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Hybrid Model Predictive Control

Zhu, J.-J., & Martius, G. (2021). Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Hybrid Model Predictive Control. IFAC-PapersOnLine, 53(2), 5239-5245. doi:10.1016/j.ifacol.2020.12.1200.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-2DF3-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-2DF4-0
Genre: Journal Article
Other : Fast Non-Parametric Learning to Accelerate Mixed-Integer Programming for Online Hybrid Model Predictive Control

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Locator:
https://doi.org/10.1016/j.ifacol.2020.12.1200 (Publisher version)
Description:
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OA-Status:
Gold
Locator:
https://doi.org/10.48550/arXiv.1911.09214 (Preprint)
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OA-Status:
Green

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 Creators:
Zhu, Jia-Jie1, Author           
Martius, Georg2, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2575693              

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Free keywords: Abt. Schölkopf; Forschungsgruppe Martius
 Abstract: -

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Language(s): eng - English
 Dates: 2021-04-14
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.ifacol.2020.12.1200
BibTex Citekey: ZhuMar20
 Degree: -

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Title: IFAC-PapersOnLine
  Other : IFAC Papers Online
Source Genre: Journal
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Publ. Info: Frankfurt ; München [u.a.] : Elsevier
Pages: - Volume / Issue: 53 (2) Sequence Number: - Start / End Page: 5239 - 5245 Identifier: ISSN: 2405-8963
CoNE: https://pure.mpg.de/cone/journals/resource/2405-8963