DocumentCode :
2812566
Title :
Desensitized model predictive control
Author :
Lana, Carlos ; Rotea, Mario
Author_Institution :
Purdue Univ., West Lafayette
fYear :
2007
fDate :
27-29 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a model predictive control formulation that incorporates trajectory sensitivity to improve the robustness of the conventional model predictive control strategy. A numerical example is used to illustrate the potential of this approach. The numerical results suggest that the proposed approach may be an alternative to robust model predictive control strategies when the latter leads to excessive computation requirements or conservatism.
Keywords :
predictive control; robust control; sensitivity; desensitized model predictive control; robust model predictive control; trajectory sensitivity; Control system synthesis; Cost function; Industrial engineering; Minimax techniques; Optimal control; Predictive control; Predictive models; Robust control; Robustness; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation, 2007. MED '07. Mediterranean Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1282-2
Electronic_ISBN :
978-1-4244-1282-2
Type :
conf
DOI :
10.1109/MED.2007.4433879
Filename :
4433879
Link To Document :
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