DocumentCode :
3528085
Title :
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
Link To Document :
بازگشت