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• W2135642605 abstract "This paper proposes a controller design approach that integrates RTO and MPC for the control of constrained uncertain nonlinear systems. Assuming that the economic function is a known function of constrained system’s states, parameterized by unknown parameters and time-varying, the controller design objective is to simultaneously identify and regulate the system to the optimal operating point. The approach relies on a novel set-based parameter estimation routine and a robust model predictive controller that takes into the effect of parameter estimation errors. A simulation example is used to demonstrate the effectiveness of the design technique." @default.
• W2135642605 created "2016-06-24" @default.
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• W2135642605 date "2010-02-01" @default.
• W2135642605 modified "2023-10-05" @default.
• W2135642605 title "Integration of real-time optimization and model predictive control" @default.
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• W2135642605 doi "https://doi.org/10.1016/j.jprocont.2009.09.001" @default.
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