DocumentCode
2653807
Title
The Robust Model Predictive Control Design Problem
Author
Joelianto, E. ; Simangunsong, R.I. ; Chaerani, D. ; Ling, K.V.
Author_Institution
Dept. of Eng. Phys., Bandung Inst. of Technol., Bandung
fYear
2009
fDate
22-24 Jan. 2009
Firstpage
546
Lastpage
550
Abstract
The paper considers the application of Robust Optimization (RO) technique to model predictive control (MPC). Robust Optimization has received considerable attention recently as a result of the well accepted and proven interior-point method. The robust optimization has been investigated and applied to various application areas. It is of interest to see the application of robust optimization method in control systems. The paper shows the robust optimization is directly applicable to MPC which relies on optimization as the workhorse to compute the control signal.
Keywords
control system synthesis; optimisation; predictive control; robust control; control systems; interior-point method; robust model predictive control design problem; robust optimization; Optimal control; Optimization methods; Paper technology; Predictive control; Predictive models; Quadratic programming; Robust control; Robustness; Sampling methods; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control, 2009. ICACC '09. International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-3330-8
Type
conf
DOI
10.1109/ICACC.2009.157
Filename
4777402
Link To Document