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• W2180096305 abstract "In this work a nonlinear model predictive control scheme for on-line optimization of semi-batch reactors is presented. Since the true process optimum occasionally lies on a boundary of the feasible region defined by one or more active constraints, the process is forced into an infeasible region due to the uncertainty in the parameters and measurement errors. An alternative new approach is proposed to assure both robustness and feasibility with respect to input and output constraints. This approach is based on the backing off of the constrained output variable bound along the moving horizon. With this strategy, a trajectory of mathematical constraint limits will be formed. The trajectory of these bounds is dependent on the amount of measurement error and parameter variation including uncertainty. The performance of the proposed approach is assessed via an application to a semi-batch reactor under safety constraints, where a strongly exothermic series reaction conducted in a non-isothermal batch reactor is considered to show the analytical steps of the approach, and to demonstrate the efficiency of the proposed online framework." @default.
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• W2180096305 date "2005-01-01" @default.
• W2180096305 modified "2023-10-17" @default.
• W2180096305 title "Real-time feasibility of nonlinear predictive control for semi-batch reactors" @default.
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• W2180096305 doi "https://doi.org/10.1016/s1570-7946(05)80003-3" @default.
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