Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers
Parallel Solutions of Model Predictive Control Using the Alternating Direction Method of Multipliers
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DOI：
10.3182/20120823-5-nl-3013.00081
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
M. Kögel;R. Findeisen
中科院分区：
文献类型：
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作者：
M. Kögel;R. Findeisen
摘要提出了一种基于交替方向乘子法的模型预测控制并行求解方法。我们的方法解决了整体问题，它沿着时间轴分解成更小的子问题。由此产生的子问题可以有效地解决并行和耦合的乘数更新。我们特别考虑框约束，因为这允许使用定制的方法来解决子问题。我们概述了该方法的适用性和使用多核系统的性能。
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.