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• W2088404810 abstract "A two-layer architecture for dynamic real-time optimization (or nonlinear modelpredictive control (NMPC) with an economic objective) is presented, where the solution of the dynamic optimization problem is computed on two time-scales. On the upper layer, a rigorous optimization problem is solved with an economic objective function at a slow time-scale, which captures slow trends in process uncertainties. On the lower layer, a fast neighboring-extremal controller is tracking the trajectory in order to deal with fast disturbances acting on the process. Compared to a single-layer architecture, the two-layer architecture is able to address control systems with complex models leading to high computational load, since the rigorous optimization problem can be solved at a slower rate than the process sampling time. Furthermore, solving a new rigorous optimization problem is not necessary at each sampling time if the process has rather slow dynamics compared to the disturbance dynamics. The two-layer control strategy is illustrated with a simulated case study of an industrial polymerization process." @default.
• W2088404810 created "2016-06-24" @default.
• W2088404810 creator A5025811583 @default.
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• W2088404810 date "2011-03-01" @default.
• W2088404810 modified "2023-10-16" @default.
• W2088404810 title "A two-layer architecture for economically optimal process control and operation" @default.
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• W2088404810 doi "https://doi.org/10.1016/j.jprocont.2010.12.008" @default.
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