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