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

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons86369

Kögel,  Markus
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg;

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Zitation

Kögel, M., & Findeisen, R. (2012). Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers. In Nonlinear Model Predictive Control (pp. 369-374).


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-8892-0
Zusammenfassung
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]