DocumentCode :
2473385
Title :
Robust nonlinear model predictive controller design based on multi-scenario formulation
Author :
Huang, Rui ; Biegler, Lorenz T.
Author_Institution :
Dept. of Chem. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
2341
Lastpage :
2342
Abstract :
We propose a robust nonlinear model predictive control (NMPC) algorithm based on multi-scenario nonlinear programming (NLP). We show that this multi-scenario formulation is Input-to-State practical stable (ISpS). Moreover, the proposed algorithm yields less steady-state offset than the minmax strategy.
Keywords :
control system synthesis; nonlinear control systems; nonlinear programming; predictive control; robust control; input-to-state practical stable; minmax strategy; multiscenario nonlinear programming; robust nonlinear model predictive controller design; Algorithm design and analysis; Chemical engineering; Concurrent computing; Control systems; Cost function; Predictive control; Predictive models; Robust control; Stability; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160486
Filename :
5160486
Link To Document :
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