The robust optimization based Model Predictive Control using box uncertainty set

Author

Joelianto, Endra ; Rismayasari, Dwita ; Chaerani, Diah

Author_Institution

Bandung Inst. of Technol., Bandung, Indonesia

fYear

2009

fDate

23-25 Nov. 2009

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

boilers; optimisation; predictive control; waste heat; MPC; box uncertainty set; model predictive control; robust optimization; waste heat boiler control; Electronic mail; Optimization methods; Paper technology; Predictive control; Predictive models; Process control; Robust control; Robustness; Sampling methods; Uncertainty; interior point method; model predictive control; quadratic cost; robust counterpart; robust optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4244-4999-6

Electronic_ISBN

978-1-4244-5000-8

Type

conf

DOI

10.1109/ICICI-BME.2009.5417249

Filename

5417249