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  Efficient Stochastic Model Predictive Control based on Polynomial Chaos Expansions for Embedded Applications

Lucia, S., Zometa, P., Kögel, M., & Findeisen, R. (2015). Efficient Stochastic Model Predictive Control based on Polynomial Chaos Expansions for Embedded Applications. In 2015 IEEE 54th Annual Conference on Decision and Control (CDC) (pp. 3006-3012).

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-F21A-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-F21B-1
Genre: Conference Paper

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 Creators:
Lucia, Sergio1, Author
Zometa, Pablo1, Author
Kögel, Markus1, 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, ou_1738143              

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Language(s): eng - English
 Dates: 2015
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/CDC.2015.7402590
 Degree: -

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Title: 2015 IEEE 54th Annual Conference on Decision and Control (CDC)
Place of Event: Osaka, Japan
Start-/End Date: 2015-12-15 - 2015-12-18

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Title: 2015 IEEE 54th Annual Conference on Decision and Control (CDC)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3006 - 3012 Identifier: -