基于盒不确定性集的鲁棒优化模型预测控制

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009 Pub Date : 2009-11-01 DOI:10.1109/ICICI-BME.2009.5417249

E. Joelianto, D. Rismayasari, D. Chaerani

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引用次数: 10

摘要

研究了鲁棒优化在模型预测控制中的应用。这种优化方法包含了不确定性数据，即在确定优化问题的解时，优化问题的数据是不确定的。鲁棒优化已被扩展并应用于各种应用中，本文介绍了鲁棒优化在MPC中的应用。以某余热锅炉为例，对基于RO的MPC控制进行了仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The robust optimization based Model Predictive Control using box uncertainty set

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.

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来源期刊

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009

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