The Robust Optimization Based Model Predictive Control using Box Uncertainty Set

被引：0

作者：

Joelianto, Endra ^{[1
]}

Rismayasari, Dwita ^{[1
]}

Chaerani, Diah ^{[2
]}

机构：

[1] Bandung Inst Technol, Jalan Ganesha 10, Bandung 40132, Indonesia

[2] Padjadjaran State Univ, Sumedang, Indonesia

来源：

ICICI-BME: 2009 INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATION, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING | 2009年

关键词：

robust counterpart; robust optimization; model predictive control; interior point method; quadratic cost;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

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.

引用

页码：292 / +

页数：2

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