首页> 外文会议>Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 >The robust optimization based Model Predictive Control using box uncertainty set
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The robust optimization based Model Predictive Control using box uncertainty set

机译:使用盒不确定性集的基于鲁棒优化的模型预测控制

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摘要

The paper considers the application of Robust Optimization (RO) to Model Predictive Control (MPC). This optimization methodology incorporates the uncertain data, which means the data of an optimization problem is not known exactly at the time when its solution has to be determined. The robust optimization has been expanded and applied to various kinds of application, in this paper, it is shown the application in MPC. The RO based MPC is simulated to a waste heat boiler control.
机译:本文考虑了鲁棒优化(RO)在模型预测控制(MPC)中的应用。此优化方法包含不确定数据,这意味着在必须确定其解决方案时无法确切知道优化问题的数据。鲁棒性优化已经扩展并应用于各种应用,本文显示了其在MPC中的应用。基于RO的MPC被模拟为废热锅炉控制。

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