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  Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers

Kögel, M., & Findeisen, R. (2012). Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers. IFAC Proceedings Volumes, 45(17), 369-374.

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 Creators:
Kögel, Markus1, 2, Author              
Findeisen, Rolf2, Author
Affiliations:
1International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
2Otto-von-Guericke-Universität Magdeburg, ou_persistent22              

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 Abstract: In this work a parallel solution method for model predictive control is presented based on the alternating direction multiplier method. Our approach solves the overall problem by decomposing it along the time-axis into smaller subproblem. The resulting subproblems can be solved efficiently in parallel and are coupled by the multiplier update. We specifically considers box constraints, since this allows to use tailored methods to solve the subproblems. We outline the applicability of the approach and the performance using a multi-core systems. Copyright © 2007 International Federation of Automatic Control. All Rights Reserved. [accessed October 19th 2012]

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Language(s): eng - English
 Dates: 2012
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 625486
DOI: 10.3182/20120823-5-NL-3013.00081
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Title: 4th IFAC Nonlinear Model Predictive Control Conference
Place of Event: Leeuwenhorst, Netherlands
Start-/End Date: 2012-08-23 - 2012-08-27

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Title: IFAC Proceedings Volumes
Source Genre: Journal
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Pages: - Volume / Issue: 45 (17) Sequence Number: - Start / End Page: 369 - 374 Identifier: -