DocumentCode :
1864388
Title :
Robust MPC algorithms using alternative parameterisations
Author :
Khan, Bilal ; Rossiter, John Anthony
Author_Institution :
Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
fYear :
2012
fDate :
3-5 Sept. 2012
Firstpage :
882
Lastpage :
887
Abstract :
This paper demonstrates the efficacy of alternative parameterisations of the degrees of freedom within a robust MPC algorithm. Alternative parameterisations have been shown to improve the feasible region when the number of degrees of freedom is limited for the nominal case. This paper extends that work to the robust scenario and shows that similar benefits accrue and moreover, the increase in complexity for the robust case as compared to the nominal case is much less than might be expected. The improvements, with respect to a conventional algorithm, are demonstrated by numerical examples.
Keywords :
computational complexity; predictive control; robust control; alternative parameterisations; model-based predictive control; robust MPC algorithms; robust case complexity; Algorithm design and analysis; Complexity theory; Numerical models; Optimization; Prediction algorithms; Robustness; Uncertainty; Alternative parameterisations; Feasibility; Robust MPC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4673-1559-3
Electronic_ISBN :
978-1-4673-1558-6
Type :
conf
DOI :
10.1109/CONTROL.2012.6334748
Filename :
6334748
Link To Document :
بازگشت