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• W4381188891 abstract "Multistage model predictive control is a robust MPC formulation that takes into account parametric uncertainty by constructing a finite set of coupled scenarios. As the amount of scenarios increase so does computational cost and real-time implementation might not be possible. Scenario decomposition has been proposed to distribute computations and make real-time implementation possible, however, typically the subproblems are coordinated using the steepest descent method with slow convergence properties. In this paper a primal decomposition algorithm is improved by the use of a nonsmooth Newtons method for continuous nonsmooth equations. The proposed algorithm is applied to a gas-lift optimization system and compared to the standard primal decomposition method using steepest descent." @default.
• W4381188891 created "2023-06-20" @default.
• W4381188891 creator A5010295880 @default.
• W4381188891 creator A5092202344 @default.
• W4381188891 date "2023-01-01" @default.
• W4381188891 modified "2023-09-25" @default.
• W4381188891 title "Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method" @default.
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• W4381188891 doi "https://doi.org/10.1109/lcsys.2023.3287306" @default.
• W4381188891 hasPublicationYear "2023" @default.
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