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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Chance Constrained Nonlinear Model Predictive Control
verfasst von : Lei Xie, Pu Li, Günter Wozny
Erschienen in: Assessment and Future Directions of Nonlinear Model Predictive Control
Verlag: Springer Berlin Heidelberg
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A novel robust controller, chance constrained nonlinear MPC, is presented. Time-dependent uncertain variables are considered and described with piecewise stochastic variables over the prediction horizon. Restrictions are satisfied with a user-defined probability level. To compute the probability and its derivatives of satisfying process restrictions, the inverse mapping approach is extended to dynamic chance constrained optimization cases. A step of probability maximization is used to address the feasibility problem. A mixing process with both an uncertain inflow rate and an uncertain feed concentration is investigated to demonstrate the effectiveness of the proposed control strategy.