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• W2034178462 abstract "This paper describes the application of an industrial real-time optimization package (ROMeo1) to the nonlinear model predictive control (NLMPC) of a simulated polymer grade transition. The NLMPC algorithm is formulated using orthogonal collocation to integrate the model equations, and sequential quadratic programming to solve the resulting nonlinear programming problem. A receding horizon estimation scheme and, separately, a Luenberger observer are designed to reconstruct unmeasured states. The resulting algorithm is demonstrated on two simulated polymerization case studies: (i) continuous methyl methacrylate and (ii) gas-phase polyethylene." @default.
• W2034178462 created "2016-06-24" @default.
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• W2034178462 date "2004-06-01" @default.
• W2034178462 modified "2023-10-16" @default.
• W2034178462 title "Polymer grade transition control using advanced real-time optimization software" @default.
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• W2034178462 doi "https://doi.org/10.1016/j.jprocont.2003.06.001" @default.
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