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• W2013437526 abstract "Abstract This paper investigates the robust design of Nonlinear Model Predictive Control (NMPC) laws that employ approximated models, derived directly from process input-output data. In particular, a Nonlinear Set Membership (NSM) identification technique is used to derive a system model and a bound of the related uncertainty. The latter is used to carry out a robust control design via a min-max formulation of the optimal control problem underlying the NMPC methodology. A numerical example with a nonlinear oscillator shows the effectiveness of the proposed approach." @default.
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• W2013437526 date "2011-01-01" @default.
• W2013437526 modified "2023-09-27" @default.
• W2013437526 title "Robust design of predictive controllers using Set Membership identified models*" @default.
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• W2013437526 doi "https://doi.org/10.3182/20110828-6-it-1002.02541" @default.
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